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surveillance radar</title> <meta name="description" content="Search results for: secondary surveillance radar"> <meta name="keywords" content="secondary surveillance radar"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="secondary surveillance radar"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 3879</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: secondary surveillance radar</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3879</span> A Method for Processing Unwanted Target Caused by Reflection in Secondary Surveillance Radar</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khanh%20D.Do">Khanh D.Do</a>, <a href="https://publications.waset.org/abstracts/search?q=Loi%20V.Nguyen"> Loi V.Nguyen</a>, <a href="https://publications.waset.org/abstracts/search?q=Thanh%20N.Nguyen"> Thanh N.Nguyen</a>, <a href="https://publications.waset.org/abstracts/search?q=Thang%20M.Nguyen"> Thang M.Nguyen</a>, <a href="https://publications.waset.org/abstracts/search?q=Vu%20T.Tran"> Vu T.Tran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Along with the development of Secondary surveillance radar (SSR) in air traffic surveillance systems, the Multipath phenomena has always been a noticeable problem. This following article discusses the geometrical aspect and power aspect of the Multipath interference caused by reflection in SSR and proposes a method to deal with these unwanted multipath targets (ghosts) by false-target position predicting and adaptive target suppressing. A field-experiment example is mentioned at the end of the article to demonstrate the efficiency of this measure. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multipath" title="multipath">multipath</a>, <a href="https://publications.waset.org/abstracts/search?q=secondary%20surveillance%20radar" title=" secondary surveillance radar"> secondary surveillance radar</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20signal%20processing" title=" digital signal processing"> digital signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=reflection" title=" reflection"> reflection</a> </p> <a href="https://publications.waset.org/abstracts/154203/a-method-for-processing-unwanted-target-caused-by-reflection-in-secondary-surveillance-radar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154203.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">162</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3878</span> Space Time Adaptive Algorithm in Bi-Static Passive Radar Systems for Clutter Mitigation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20Venu">D. Venu</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20V.%20Koteswara%20Rao"> N. V. Koteswara Rao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Space – time adaptive processing (STAP) is an effective tool for detecting a moving target in spaceborne or airborne radar systems. Since airborne passive radar systems utilize broadcast, navigation and excellent communication signals to perform various surveillance tasks and also has attracted significant interest from the distinct past, therefore the need of the hour is to have cost effective systems as compared to conventional active radar systems. Moreover, requirements of small number of secondary samples for effective clutter suppression in bi-static passive radar offer abundant illuminator resources for passive surveillance radar systems. This paper presents a framework for incorporating knowledge sources directly in the space-time beam former of airborne adaptive radars. STAP algorithm for clutter mitigation for passive bi-static radar has better quantitation of the reduction in sample size thereby amalgamating the earlier data bank with existing radar data sets. Also, we proposed a novel method to estimate the clutter matrix and perform STAP for efficient clutter suppression based on small sample size. Furthermore, the effectiveness of the proposed algorithm is verified using MATLAB simulations in order to validate STAP algorithm for passive bi-static radar. In conclusion, this study highlights the importance for various applications which augments traditional active radars using cost-effective measures. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bistatic%20radar" title="bistatic radar">bistatic radar</a>, <a href="https://publications.waset.org/abstracts/search?q=clutter" title=" clutter"> clutter</a>, <a href="https://publications.waset.org/abstracts/search?q=covariance%20matrix%20passive%20radar" title=" covariance matrix passive radar"> covariance matrix passive radar</a>, <a href="https://publications.waset.org/abstracts/search?q=STAP" title=" STAP"> STAP</a> </p> <a href="https://publications.waset.org/abstracts/62372/space-time-adaptive-algorithm-in-bi-static-passive-radar-systems-for-clutter-mitigation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62372.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">295</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3877</span> Classification of Random Doppler-Radar Targets during the Surveillance Operations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20C.%20Tikkiwal">G. C. Tikkiwal</a>, <a href="https://publications.waset.org/abstracts/search?q=Mukesh%20Upadhyay"> Mukesh Upadhyay</a> </p> <p class="card-text"><strong>Abstract:</strong></p> During the surveillance operations at war or peace time, the Radar operator gets a scatter of targets over the screen. This may be a tracked vehicle like tank vis-à-vis T72, BMP etc, or it may be a wheeled vehicle like ALS, TATRA, 2.5Tonne, Shaktiman or moving the army, moving convoys etc. The radar operator selects one of the promising targets into single target tracking (STT) mode. Once the target is locked, the operator gets a typical audible signal into his headphones. With reference to the gained experience and training over the time, the operator then identifies the random target. But this process is cumbersome and is solely dependent on the skills of the operator, thus may lead to misclassification of the object. In this paper, we present a technique using mathematical and statistical methods like fast fourier transformation (FFT) and principal component analysis (PCA) to identify the random objects. The process of classification is based on transforming the audible signature of target into music octave-notes. The whole methodology is then automated by developing suitable software. This automation increases the efficiency of identification of the random target by reducing the chances of misclassification. This whole study is based on live data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=radar%20target" title="radar target">radar target</a>, <a href="https://publications.waset.org/abstracts/search?q=FFT" title=" FFT"> FFT</a>, <a href="https://publications.waset.org/abstracts/search?q=principal%20component%20analysis" title=" principal component analysis"> principal component analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=eigenvector" title=" eigenvector"> eigenvector</a>, <a href="https://publications.waset.org/abstracts/search?q=octave-notes" title=" octave-notes"> octave-notes</a>, <a href="https://publications.waset.org/abstracts/search?q=DSP" title=" DSP"> DSP</a> </p> <a href="https://publications.waset.org/abstracts/37430/classification-of-random-doppler-radar-targets-during-the-surveillance-operations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37430.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">394</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3876</span> Application of Principle Component Analysis for Classification of Random Doppler-Radar Targets during the Surveillance Operations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20C.%20Tikkiwal">G. C. Tikkiwal</a>, <a href="https://publications.waset.org/abstracts/search?q=Mukesh%20Upadhyay"> Mukesh Upadhyay</a> </p> <p class="card-text"><strong>Abstract:</strong></p> During the surveillance operations at war or peace time, the Radar operator gets a scatter of targets over the screen. This may be a tracked vehicle like tank vis-à-vis T72, BMP etc, or it may be a wheeled vehicle like ALS, TATRA, 2.5Tonne, Shaktiman or moving army, moving convoys etc. The Radar operator selects one of the promising targets into Single Target Tracking (STT) mode. Once the target is locked, the operator gets a typical audible signal into his headphones. With reference to the gained experience and training over the time, the operator then identifies the random target. But this process is cumbersome and is solely dependent on the skills of the operator, thus may lead to misclassification of the object. In this paper we present a technique using mathematical and statistical methods like Fast Fourier Transformation (FFT) and Principal Component Analysis (PCA) to identify the random objects. The process of classification is based on transforming the audible signature of target into music octave-notes. The whole methodology is then automated by developing suitable software. This automation increases the efficiency of identification of the random target by reducing the chances of misclassification. This whole study is based on live data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=radar%20target" title="radar target">radar target</a>, <a href="https://publications.waset.org/abstracts/search?q=fft" title=" fft"> fft</a>, <a href="https://publications.waset.org/abstracts/search?q=principal%20component%20analysis" title=" principal component analysis"> principal component analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=eigenvector" title=" eigenvector"> eigenvector</a>, <a href="https://publications.waset.org/abstracts/search?q=octave-notes" title=" octave-notes"> octave-notes</a>, <a href="https://publications.waset.org/abstracts/search?q=dsp" title=" dsp"> dsp</a> </p> <a href="https://publications.waset.org/abstracts/39492/application-of-principle-component-analysis-for-classification-of-random-doppler-radar-targets-during-the-surveillance-operations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39492.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">346</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3875</span> Analysis of Formation Methods of Range Profiles for an X-Band Coastal Surveillance Radar</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nguyen%20Van%20Loi">Nguyen Van Loi</a>, <a href="https://publications.waset.org/abstracts/search?q=Le%20Thanh%20Son"> Le Thanh Son</a>, <a href="https://publications.waset.org/abstracts/search?q=Tran%20Trung%20Kien"> Tran Trung Kien</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper deals with the problem of the formation of range profiles (RPs) for an X-band coastal surveillance radar. Two popular methods, the difference operator method, and the window-based method, are reviewed and analyzed via two tests with different datasets. The test results show that although the original window-based method achieves a better performance than the difference operator method, it has three main drawbacks that are the use of 3 or 4 peaks of an RP for creating the windows, the extension of the window size using the power sum of three adjacent cells in the left and the right sides of the windows and the same threshold applied for all types of vessels to finish the formation process of RPs. These drawbacks lead to inaccurate RPs due to the low signal-to-clutter ratio. Therefore, some suggestions are proposed to improve the original window-based method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=range%20profile" title="range profile">range profile</a>, <a href="https://publications.waset.org/abstracts/search?q=difference%20operator%20method" title=" difference operator method"> difference operator method</a>, <a href="https://publications.waset.org/abstracts/search?q=window-based%20method" title=" window-based method"> window-based method</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20target%20recognition" title=" automatic target recognition"> automatic target recognition</a> </p> <a href="https://publications.waset.org/abstracts/134878/analysis-of-formation-methods-of-range-profiles-for-an-x-band-coastal-surveillance-radar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134878.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">127</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3874</span> Networked Radar System to Increase Safety of Urban Railroad Crossing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sergio%20Saponara">Sergio Saponara</a>, <a href="https://publications.waset.org/abstracts/search?q=Luca%20Fanucci"> Luca Fanucci</a>, <a href="https://publications.waset.org/abstracts/search?q=Riccardo%20Cassettari"> Riccardo Cassettari</a>, <a href="https://publications.waset.org/abstracts/search?q=Ruggero%20Piernicola"> Ruggero Piernicola</a>, <a href="https://publications.waset.org/abstracts/search?q=Marco%20Righetto"> Marco Righetto</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper presents an innovative networked radar system for detection of obstacles in a railway level crossing scenario. This Monitoring System (MS) is able to detect moving or still obstacles within the railway level crossing area automatically, avoiding the need of human presence for surveillance. The MS is also connected to the National Railway Information and Signaling System to communicate in real-time the level crossing status. The architecture is compliant with the highest Safety Integrity Level (SIL4) of the CENELEC standard. The number of radar sensors used is configurable at set-up time and depends on how large the level crossing area can be. At least two sensors are expected and up four can be used for larger areas. The whole processing chain that elaborates the output sensor signals, as well as the communication interface, is fully-digital, was designed in VHDL code and implemented onto a Xilinx Virtex 6. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=radar%20for%20safe%20mobility" title="radar for safe mobility">radar for safe mobility</a>, <a href="https://publications.waset.org/abstracts/search?q=railroad%20crossing" title=" railroad crossing"> railroad crossing</a>, <a href="https://publications.waset.org/abstracts/search?q=railway" title=" railway"> railway</a>, <a href="https://publications.waset.org/abstracts/search?q=transport%20safety" title=" transport safety"> transport safety</a> </p> <a href="https://publications.waset.org/abstracts/31337/networked-radar-system-to-increase-safety-of-urban-railroad-crossing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31337.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">480</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3873</span> Impairments Correction of Six-Port Based Millimeter-Wave Radar</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dan%20Ohev%20Zion">Dan Ohev Zion</a>, <a href="https://publications.waset.org/abstracts/search?q=Alon%20Cohen"> Alon Cohen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, the presence of short-range millimeter-wave radar in civil application has increased significantly. Autonomous driving, security, 3D imaging and high data rate communication systems are a few examples. The next challenge is the integration inside small form-factor devices, such as smartphones (e.g. gesture recognition). The main challenge is implementation of a truly low-power, low-complexity high-resolution radar. The most popular approach is the Frequency Modulated Continuous Wave (FMCW) radar, with an analog multiplication front-end. In this paper, we present an approach for adaptive estimation and correction of impairments of such front-end, specifically implemented using the Six-Port Device (SPD) as the multiplier element. The proposed algorithm was simulated and implemented on a 60 GHz radar lab prototype. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=radar" title="radar">radar</a>, <a href="https://publications.waset.org/abstracts/search?q=FMCW%20Radar" title=" FMCW Radar"> FMCW Radar</a>, <a href="https://publications.waset.org/abstracts/search?q=IQ%20mismatch" title=" IQ mismatch"> IQ mismatch</a>, <a href="https://publications.waset.org/abstracts/search?q=six%20port" title=" six port"> six port</a> </p> <a href="https://publications.waset.org/abstracts/117510/impairments-correction-of-six-port-based-millimeter-wave-radar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/117510.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">152</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3872</span> A Mini Radar System for Low Altitude Targets Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kangkang%20Wu">Kangkang Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaizhi%20Wang"> Kaizhi Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhijun%20Yuan"> Zhijun Yuan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper deals with a mini radar system aimed at detecting small targets at the low latitude. The radar operates at Ku-band in the frequency modulated continuous wave (FMCW) mode with two receiving channels. The radar system has the characteristics of compactness, mobility, and low power consumption. This paper focuses on the implementation of the radar system, and the Block least mean square (Block LMS) algorithm is applied to minimize the fortuitous distortion. It is validated from a series of experiments that the track of the unmanned aerial vehicle (UAV) can be easily distinguished with the radar system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=unmanned%20aerial%20vehicle%20%28UAV%29" title="unmanned aerial vehicle (UAV)">unmanned aerial vehicle (UAV)</a>, <a href="https://publications.waset.org/abstracts/search?q=interference" title=" interference"> interference</a>, <a href="https://publications.waset.org/abstracts/search?q=Block%20Least%20Mean%20Square%20%28Block%20LMS%29%20Algorithm" title=" Block Least Mean Square (Block LMS) Algorithm"> Block Least Mean Square (Block LMS) Algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=Frequency%20Modulated%20Continuous%20Wave%20%28FMCW%29" title=" Frequency Modulated Continuous Wave (FMCW)"> Frequency Modulated Continuous Wave (FMCW)</a> </p> <a href="https://publications.waset.org/abstracts/71341/a-mini-radar-system-for-low-altitude-targets-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71341.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">320</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3871</span> A Generalized Model for Performance Analysis of Airborne Radar in Clutter Scenario</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vinod%20Kumar%20Jaysaval">Vinod Kumar Jaysaval</a>, <a href="https://publications.waset.org/abstracts/search?q=Prateek%20Agarwal"> Prateek Agarwal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Performance prediction of airborne radar is a challenging and cumbersome task in clutter scenario for different types of targets. A generalized model requires to predict the performance of Radar for air targets as well as ground moving targets. In this paper, we propose a generalized model to bring out the performance of airborne radar for different Pulsed Repetition Frequency (PRF) as well as different type of targets. The model provides a platform to bring out different subsystem parameters for different applications and performance requirements under different types of clutter terrain. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=airborne%20radar" title="airborne radar">airborne radar</a>, <a href="https://publications.waset.org/abstracts/search?q=blind%20zone" title=" blind zone"> blind zone</a>, <a href="https://publications.waset.org/abstracts/search?q=clutter" title=" clutter"> clutter</a>, <a href="https://publications.waset.org/abstracts/search?q=probability%20of%20detection" title=" probability of detection"> probability of detection</a> </p> <a href="https://publications.waset.org/abstracts/13998/a-generalized-model-for-performance-analysis-of-airborne-radar-in-clutter-scenario" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13998.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">470</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3870</span> Coherent Ku-Band Radar for Monitoring Ocean Waves</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Richard%20Mitchell">Richard Mitchell</a>, <a href="https://publications.waset.org/abstracts/search?q=Robert%20Mitchell"> Robert Mitchell</a>, <a href="https://publications.waset.org/abstracts/search?q=Thai%20Duong"> Thai Duong</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyungbin%20Bae"> Kyungbin Bae</a>, <a href="https://publications.waset.org/abstracts/search?q=Daegon%20Kim"> Daegon Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Youngsub%20Lee"> Youngsub Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Inho%20Kim"> Inho Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Inho%20Park"> Inho Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Hyungseok%20Lee"> Hyungseok Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Although X-band radar is commonly used to measure the properties of ocean waves, the use of a higher frequency has several advantages, such as increased backscatter coefficient, better Doppler sensitivity, lower power, and a smaller package. A low-power Ku-band radar system was developed to demonstrate these advantages. It is fully coherent, and it interleaves short and long pulses to achieve a transmit duty ratio of 25%, which makes the best use of solid-state amplifiers. The range scales are 2 km, 4 km, and 8 km. The minimum range is 100 m, 200 m, and 400 m for the three range scales, and the range resolution is 4 m, 8 m, and 16 m for the three range scales. Measurements of the significant wave height, wavelength, wave period, and wave direction have been made using traditional 3D-FFT methods. Radar and ultrasonic sensor results collected over an extended period of time at a coastal site in South Korea are presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=measurement%20of%20ocean%20wave%20parameters" title="measurement of ocean wave parameters">measurement of ocean wave parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=Ku-band%20radar" title=" Ku-band radar"> Ku-band radar</a>, <a href="https://publications.waset.org/abstracts/search?q=coherent%20radar" title=" coherent radar"> coherent radar</a>, <a href="https://publications.waset.org/abstracts/search?q=compact%20radar" title=" compact radar"> compact radar</a> </p> <a href="https://publications.waset.org/abstracts/146057/coherent-ku-band-radar-for-monitoring-ocean-waves" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/146057.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">169</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3869</span> Sequential Data Assimilation with High-Frequency (HF) Radar Surface Current</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lei%20Ren">Lei Ren</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Hartnett"> Michael Hartnett</a>, <a href="https://publications.waset.org/abstracts/search?q=Stephen%20Nash"> Stephen Nash</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The abundant measured surface current from HF radar system in coastal area is assimilated into model to improve the modeling forecasting ability. A simple sequential data assimilation scheme, Direct Insertion (DI), is applied to update model forecast states. The influence of Direct Insertion data assimilation over time is analyzed at one reference point. Vector maps of surface current from models are compared with HF radar measurements. Root-Mean-Squared-Error (RMSE) between modeling results and HF radar measurements is calculated during the last four days with no data assimilation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20assimilation" title="data assimilation">data assimilation</a>, <a href="https://publications.waset.org/abstracts/search?q=CODAR" title=" CODAR"> CODAR</a>, <a href="https://publications.waset.org/abstracts/search?q=HF%20radar" title=" HF radar"> HF radar</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20current" title=" surface current"> surface current</a>, <a href="https://publications.waset.org/abstracts/search?q=direct%20insertion" title=" direct insertion"> direct insertion</a> </p> <a href="https://publications.waset.org/abstracts/14355/sequential-data-assimilation-with-high-frequency-hf-radar-surface-current" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14355.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">574</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3868</span> GIS for Simulating Air Traffic by Applying Different Multi-radar Positioning Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amara%20Rafik">Amara Rafik</a>, <a href="https://publications.waset.org/abstracts/search?q=Bougherara%20Maamar"> Bougherara Maamar</a>, <a href="https://publications.waset.org/abstracts/search?q=Belhadj%20Aissa%20Mostefa"> Belhadj Aissa Mostefa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Radar data is one of the many data sources used by ATM Air Traffic Management systems. These data come from air navigation radar antennas. These radars intercept signals emitted by the various aircraft crossing the controlled airspace and calculate the position of these aircraft and retransmit their positions to the Air Traffic Management System. For greater reliability, these radars are positioned in such a way as to allow their coverage areas to overlap. An aircraft will therefore be detected by at least one of these radars. However, the position coordinates of the same aircraft and sent by these different radars are not necessarily identical. Therefore, the ATM system must calculate a single position (radar track) which will ultimately be sent to the control position and displayed on the air traffic controller's monitor. There are several techniques for calculating the radar track. Furthermore, the geographical nature of the problem requires the use of a Geographic Information System (GIS), i.e. a geographical database on the one hand and geographical processing. The objective of this work is to propose a GIS for traffic simulation which reconstructs the evolution over time of aircraft positions from a multi-source radar data set and by applying these different techniques. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ATM" title="ATM">ATM</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=radar%20data" title=" radar data"> radar data</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20traffic%20simulation" title=" air traffic simulation"> air traffic simulation</a> </p> <a href="https://publications.waset.org/abstracts/168613/gis-for-simulating-air-traffic-by-applying-different-multi-radar-positioning-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168613.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">85</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3867</span> Angle of Arrival Estimation Using Maximum Likelihood Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Olomon%20Wu">Olomon Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hung%20Lu"> Hung Lu</a>, <a href="https://publications.waset.org/abstracts/search?q=Nick%20Wilkins"> Nick Wilkins</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Kerr"> Daniel Kerr</a>, <a href="https://publications.waset.org/abstracts/search?q=Zekeriya%20Aliyazicioglu"> Zekeriya Aliyazicioglu</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20K.%20Hwang"> H. K. Hwang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Multiple Input Multiple Output (MIMO) radar has received increasing attention in recent years. MIMO radar has many advantages over conventional phased array radar such as target detection, resolution enhancement, and interference suppression. In this paper, the results are presented from a simulation study of MIMO Uniformly-Spaced Linear Array (ULA) antennas. The performance is investigated under varied parameters, including varied array size, Pseudo Random (PN) sequence length, number of snapshots, and Signal to Noise Ratio (SNR). The results of MIMO are compared to a traditional array antenna. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MIMO%20radar" title="MIMO radar">MIMO radar</a>, <a href="https://publications.waset.org/abstracts/search?q=phased%20array%20antenna" title=" phased array antenna"> phased array antenna</a>, <a href="https://publications.waset.org/abstracts/search?q=target%20detection" title=" target detection"> target detection</a>, <a href="https://publications.waset.org/abstracts/search?q=radar%20signal%20processing" title=" radar signal processing"> radar signal processing</a> </p> <a href="https://publications.waset.org/abstracts/2469/angle-of-arrival-estimation-using-maximum-likelihood-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2469.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">542</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3866</span> Geographic Information System for Simulating Air Traffic By Applying Different Multi-Radar Positioning Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amara%20Rafik">Amara Rafik</a>, <a href="https://publications.waset.org/abstracts/search?q=Mostefa%20Belhadj%20Aissa"> Mostefa Belhadj Aissa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Radar data is one of the many data sources used by ATM Air Traffic Management systems. These data come from air navigation radar antennas. These radars intercept signals emitted by the various aircraft crossing the controlled airspace and calculate the position of these aircraft and retransmit their positions to the Air Traffic Management System. For greater reliability, these radars are positioned in such a way as to allow their coverage areas to overlap. An aircraft will therefore be detected by at least one of these radars. However, the position coordinates of the same aircraft and sent by these different radars are not necessarily identical. Therefore, the ATM system must calculate a single position (radar track) which will ultimately be sent to the control position and displayed on the air traffic controller's monitor. There are several techniques for calculating the radar track. Furthermore, the geographical nature of the problem requires the use of a Geographic Information System (GIS), i.e. a geographical database on the one hand and geographical processing. The objective of this work is to propose a GIS for traffic simulation which reconstructs the evolution over time of aircraft positions from a multi-source radar data set and by applying these different techniques. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ATM" title="ATM">ATM</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=radar%20data" title=" radar data"> radar data</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a> </p> <a href="https://publications.waset.org/abstracts/156884/geographic-information-system-for-simulating-air-traffic-by-applying-different-multi-radar-positioning-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156884.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">118</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3865</span> Ultra-High Frequency Passive Radar Coverage for Cars Detection in Semi-Urban Scenarios</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pedro%20G%C3%B3mez-del-Hoyo">Pedro Gómez-del-Hoyo</a>, <a href="https://publications.waset.org/abstracts/search?q=Jose-Luis%20B%C3%A1rcena-Humanes"> Jose-Luis Bárcena-Humanes</a>, <a href="https://publications.waset.org/abstracts/search?q=Nerea%20del-Rey-Maestre"> Nerea del-Rey-Maestre</a>, <a href="https://publications.waset.org/abstracts/search?q=Mar%C3%ADa-Pilar%20Jarabo-Amores"> María-Pilar Jarabo-Amores</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Mata-Moya"> David Mata-Moya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A study of achievable coverages using passive radar systems in terrestrial traffic monitoring applications is presented. The study includes the estimation of the bistatic radar cross section of different commercial vehicle models that provide challenging low values which make detection really difficult. A semi-urban scenario is selected to evaluate the impact of excess propagation losses generated by an irregular relief. A bistatic passive radar exploiting UHF frequencies radiated by digital video broadcasting transmitters is assumed. A general method of coverage estimation using electromagnetic simulators in combination with estimated car average bistatic radar cross section is applied. In order to reduce the computational cost, hybrid solution is implemented, assuming free space for the target-receiver path but estimating the excess propagation losses for the transmitter-target one. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bistatic%20radar%20cross%20section" title="bistatic radar cross section">bistatic radar cross section</a>, <a href="https://publications.waset.org/abstracts/search?q=passive%20radar" title=" passive radar"> passive radar</a>, <a href="https://publications.waset.org/abstracts/search?q=propagation%20losses" title=" propagation losses"> propagation losses</a>, <a href="https://publications.waset.org/abstracts/search?q=radar%20coverage" title=" radar coverage"> radar coverage</a> </p> <a href="https://publications.waset.org/abstracts/52279/ultra-high-frequency-passive-radar-coverage-for-cars-detection-in-semi-urban-scenarios" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52279.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">336</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3864</span> Fabricating an Infrared-Radar Compatible Stealth Surface with Frequency Selective Surface and Structured Radar-Absorbing Material</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qingtao%20Yu">Qingtao Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Guojia%20Ma"> Guojia Ma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Approaches to microwave absorption and low infrared emissivity are often conflicting, as the low-emissivity layer, usually consisting of metals, increases the reflection of microwaves, especially in high frequency. In this study, an infrared-radar compatible stealth surface was fabricated by first depositing a layer of low-emissivity metal film on the surface of a layer of radar-absorbing material. Then, ultrafast laser was used to generate patterns on the metal film, forming a frequency selective surface. With proper pattern design, while the majority of the frequency selective surface is covered by the metal film, it has relatively little influence on the reflection of microwaves between 2 to 18 GHz. At last, structures on the radar-absorbing layer were fabricated by ultra-fast laser to further improve the absorbing bandwidth of the microwave. This study demonstrates that the compatibility between microwave absorption and low infrared emissivity can be achieved by properly designing patterns and structures on the metal film and the radar-absorbing layer accordingly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=frequency%20selective%20surface" title="frequency selective surface">frequency selective surface</a>, <a href="https://publications.waset.org/abstracts/search?q=infrared-radar%20compatible" title=" infrared-radar compatible"> infrared-radar compatible</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20infrared%20emissivity" title=" low infrared emissivity"> low infrared emissivity</a>, <a href="https://publications.waset.org/abstracts/search?q=radar-absorbing%20material" title=" radar-absorbing material"> radar-absorbing material</a>, <a href="https://publications.waset.org/abstracts/search?q=patterns" title=" patterns"> patterns</a>, <a href="https://publications.waset.org/abstracts/search?q=structures" title=" structures"> structures</a> </p> <a href="https://publications.waset.org/abstracts/115550/fabricating-an-infrared-radar-compatible-stealth-surface-with-frequency-selective-surface-and-structured-radar-absorbing-material" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115550.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">129</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3863</span> Sidelobe Free Inverse Synthetic Aperture Radar Imaging of Non Cooperative Moving Targets Using WiFi</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiamin%20Huang">Jiamin Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuliang%20Gui"> Shuliang Gui</a>, <a href="https://publications.waset.org/abstracts/search?q=Zengshan%20Tian"> Zengshan Tian</a>, <a href="https://publications.waset.org/abstracts/search?q=Fei%20Yan"> Fei Yan</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaodong%20Wu"> Xiaodong Wu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, with the rapid development of radio frequency technology, the differences between radar sensing and wireless communication in terms of receiving and sending channels, signal processing, data management and control are gradually shrinking. There has been a trend of integrated communication radar sensing. However, most of the existing radar imaging technologies based on communication signals are combined with synthetic aperture radar (SAR) imaging, which does not conform to the practical application case of the integration of communication and radar. Therefore, in this paper proposes a high-precision imaging method using communication signals based on the imaging mechanism of inverse synthetic aperture radar (ISAR) imaging. This method makes full use of the structural characteristics of the orthogonal frequency division multiplexing (OFDM) signal, so the sidelobe effect in distance compression is removed and combines radon transform and Fractional Fourier Transform (FrFT) parameter estimation methods to achieve ISAR imaging of non-cooperative targets. The simulation experiment and measured results verify the feasibility and effectiveness of the method, and prove its broad application prospects in the field of intelligent transportation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=integration%20of%20communication%20and%20radar" title="integration of communication and radar">integration of communication and radar</a>, <a href="https://publications.waset.org/abstracts/search?q=OFDM" title=" OFDM"> OFDM</a>, <a href="https://publications.waset.org/abstracts/search?q=radon" title=" radon"> radon</a>, <a href="https://publications.waset.org/abstracts/search?q=FrFT" title=" FrFT"> FrFT</a>, <a href="https://publications.waset.org/abstracts/search?q=ISAR" title=" ISAR"> ISAR</a> </p> <a href="https://publications.waset.org/abstracts/155640/sidelobe-free-inverse-synthetic-aperture-radar-imaging-of-non-cooperative-moving-targets-using-wifi" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155640.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">126</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3862</span> Detection and Tracking Approach Using an Automotive Radar to Increase Active Pedestrian Safety</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Michael%20Heuer">Michael Heuer</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayoub%20Al-Hamadi"> Ayoub Al-Hamadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexander%20Rain"> Alexander Rain</a>, <a href="https://publications.waset.org/abstracts/search?q=Marc-Michael%20Meinecke"> Marc-Michael Meinecke</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vulnerable road users, e.g. pedestrians, have a high impact on fatal accident numbers. To reduce these statistics, car manufactures are intensively developing suitable safety systems. Hereby, fast and reliable environment recognition is a major challenge. In this paper we describe a tracking approach that is only based on a 24 GHz radar sensor. While common radar signal processing loses much information, we make use of a track-before-detect filter to incorporate raw measurements. It is explained how the Range-Doppler spectrum can help to indicated pedestrians and stabilize tracking even in occultation scenarios compared to sensors in series. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=radar" title="radar">radar</a>, <a href="https://publications.waset.org/abstracts/search?q=pedestrian%20detection" title=" pedestrian detection"> pedestrian detection</a>, <a href="https://publications.waset.org/abstracts/search?q=active%20safety" title=" active safety"> active safety</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor" title=" sensor"> sensor</a> </p> <a href="https://publications.waset.org/abstracts/6539/detection-and-tracking-approach-using-an-automotive-radar-to-increase-active-pedestrian-safety" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6539.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">529</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3861</span> Intervention of Threat and Surveillance on the Obedience of Preschool Children</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sarah%20Mhae%20Diaz">Sarah Mhae Diaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Erika%20Anna%20De%20Leon"> Erika Anna De Leon</a>, <a href="https://publications.waset.org/abstracts/search?q=Jacklin%20Alwil%20Cartagena"> Jacklin Alwil Cartagena</a>, <a href="https://publications.waset.org/abstracts/search?q=Geordan%20Caruncong"> Geordan Caruncong</a>, <a href="https://publications.waset.org/abstracts/search?q=Micah%20Riezl%20Gonzales"> Micah Riezl Gonzales</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study examined the intervention of threat and surveillance on the obedience of 100 preschool children through a task variable experiment replicated from the previous studies of Higbee (1979), and Chua, J., Chua, M., & Pico (1983). Nowadays, obedience among Filipino children to authority is disregarded since they are more outspoken and rebel due to social influences. With this, aside from corporal punishment, threat and surveillance became a mean of inducing obedience. Threat, according to the Dissonance Theory, can give attitudinal change. On the other hand, surveillance, according to the Theory of Social Facilitation, can either contribute to the completion or failure to do a task. Through a 2x2 factorial design, results show; (1) threat (F(1,96) = 12.487, p < 0.05) and (2) surveillance (F(1,96)=9.942, p<.05) had a significant main effect on obedience, suggesting that the Dissonance Theory and Theory of Social Facilitation is respectively true in the study. On the other hand, (3) no interaction (F(1,96)=1.303, p > .05) was seen since threat and surveillance both have a main effect that could be positive or negative, or could be because of their complementary property as supported by the post-hoc results. Also, (4) most effective commanding style is threat and surveillance setting (M = 30.04, SD = 7.971) due to the significant main effect of the two variables. With this, in the Filipino Setting, threat and surveillance has proven to be a very effective strategy to discipline and induce obedience from a child. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=experimental%20study" title="experimental study">experimental study</a>, <a href="https://publications.waset.org/abstracts/search?q=obedience" title=" obedience"> obedience</a>, <a href="https://publications.waset.org/abstracts/search?q=preschool%20children" title=" preschool children"> preschool children</a>, <a href="https://publications.waset.org/abstracts/search?q=surveillance" title=" surveillance"> surveillance</a>, <a href="https://publications.waset.org/abstracts/search?q=threat" title=" threat"> threat</a> </p> <a href="https://publications.waset.org/abstracts/27034/intervention-of-threat-and-surveillance-on-the-obedience-of-preschool-children" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27034.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">488</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3860</span> Evaluation of Dual Polarization Rainfall Estimation Algorithm Applicability in Korea: A Case Study on Biseulsan Radar</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chulsang%20Yoo">Chulsang Yoo</a>, <a href="https://publications.waset.org/abstracts/search?q=Gildo%20Kim"> Gildo Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Dual polarization radar provides comprehensive information about rainfall by measuring multiple parameters. In Korea, for the rainfall estimation, JPOLE and CSU-HIDRO algorithms are generally used. This study evaluated the local applicability of JPOLE and CSU-HIDRO algorithms in Korea by using the observed rainfall data collected on August, 2014 by the Biseulsan dual polarization radar data and KMA AWS. A total of 11,372 pairs of radar-ground rain rate data were classified according to thresholds of synthetic algorithms into suitable and unsuitable data. Then, evaluation criteria were derived by comparing radar rain rate and ground rain rate, respectively, for entire, suitable, unsuitable data. The results are as follows: (1) The radar rain rate equation including KDP, was found better in the rainfall estimation than the other equations for both JPOLE and CSU-HIDRO algorithms. The thresholds were found to be adequately applied for both algorithms including specific differential phase. (2) The radar rain rate equation including horizontal reflectivity and differential reflectivity were found poor compared to the others. The result was not improved even when only the suitable data were applied. Acknowledgments: This work was supported by the Basic Science Research Program through the National Research Foundation of Korea, funded by the Ministry of Education (NRF-2013R1A1A2011012). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CSU-HIDRO%20algorithm" title="CSU-HIDRO algorithm">CSU-HIDRO algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=dual%20polarization%20radar" title=" dual polarization radar"> dual polarization radar</a>, <a href="https://publications.waset.org/abstracts/search?q=JPOLE%20algorithm" title=" JPOLE algorithm"> JPOLE algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=radar%20rainfall%20estimation%20algorithm" title=" radar rainfall estimation algorithm"> radar rainfall estimation algorithm</a> </p> <a href="https://publications.waset.org/abstracts/46874/evaluation-of-dual-polarization-rainfall-estimation-algorithm-applicability-in-korea-a-case-study-on-biseulsan-radar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46874.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">214</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3859</span> Security Analysis of Mod. S Transponder Technology and Attack Examples</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Rutkowski">M. Rutkowski</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Cwiklak"> J. Cwiklak</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Grzegorzewski"> M. Grzegorzewski</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Adamski"> M. Adamski</a> </p> <p class="card-text"><strong>Abstract:</strong></p> All class A Airplanes have to be equipped with Mod. S transponder for ATC surveillance purposes. This technology was designed to provide a robust and dependable solution to localize, identify and exchange data with the airplane. The purpose of this paper is to analyze potential hazards that are a result of lack of any security or encryption on a design level. Secondary Surveillance Radars rely on an active response from an airplane. SSR radar installation is broadcasting a directional interrogation signal to the planes in range on 1030MHz frequency with DPSK modulation. If the interrogation is correctly received by the transponder located on the plane, a proper answer is sent on 1090MHz with PPM modulation containing plane’s SQUAWK, barometric altitude, GPS coordinates and 24bit unique address code. This technology does not use any kind of encryption. All of the specifications from the previous chapter can be found easily on the internet. Since there is no encryption or security measure to ensure the credibility of the sender and message, it is highly hazardous to use such technology to ensure the safety of the air traffic. The only thing that identifies the airplane is the 24-bit unique address. Most of the planes have been sniffed by aviation enthusiasts and cataloged in web databases. In the moment of writing this article, The PoFung Technologies has announced that they are planning to release all band SDR transceiver – this device would be more than enough to build your own Mod. S Transponder. With fake transponder, a potential terrorist can identify as a different airplane. By replacing the transponder in a poorly controlled airspace, hijackers can enter another airspace identifying themselves as another plane and land in the desired area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flight%20safety" title="flight safety">flight safety</a>, <a href="https://publications.waset.org/abstracts/search?q=hijack" title=" hijack"> hijack</a>, <a href="https://publications.waset.org/abstracts/search?q=mod%20S%20transponder" title=" mod S transponder"> mod S transponder</a>, <a href="https://publications.waset.org/abstracts/search?q=security%20analysis" title=" security analysis"> security analysis</a> </p> <a href="https://publications.waset.org/abstracts/32510/security-analysis-of-mod-s-transponder-technology-and-attack-examples" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32510.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">295</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3858</span> Radar Fault Diagnosis Strategy Based on Deep Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bin%20Feng">Bin Feng</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhulin%20Zong"> Zhulin Zong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Radar systems are critical in the modern military, aviation, and maritime operations, and their proper functioning is essential for the success of these operations. However, due to the complexity and sensitivity of radar systems, they are susceptible to various faults that can significantly affect their performance. Traditional radar fault diagnosis strategies rely on expert knowledge and rule-based approaches, which are often limited in effectiveness and require a lot of time and resources. Deep learning has recently emerged as a promising approach for fault diagnosis due to its ability to learn features and patterns from large amounts of data automatically. In this paper, we propose a radar fault diagnosis strategy based on deep learning that can accurately identify and classify faults in radar systems. Our approach uses convolutional neural networks (CNN) to extract features from radar signals and fault classify the features. The proposed strategy is trained and validated on a dataset of measured radar signals with various types of faults. The results show that it achieves high accuracy in fault diagnosis. To further evaluate the effectiveness of the proposed strategy, we compare it with traditional rule-based approaches and other machine learning-based methods, including decision trees, support vector machines (SVMs), and random forests. The results demonstrate that our deep learning-based approach outperforms the traditional approaches in terms of accuracy and efficiency. Finally, we discuss the potential applications and limitations of the proposed strategy, as well as future research directions. Our study highlights the importance and potential of deep learning for radar fault diagnosis. It suggests that it can be a valuable tool for improving the performance and reliability of radar systems. In summary, this paper presents a radar fault diagnosis strategy based on deep learning that achieves high accuracy and efficiency in identifying and classifying faults in radar systems. The proposed strategy has significant potential for practical applications and can pave the way for further research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=radar%20system" title="radar system">radar system</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnosis" title=" fault diagnosis"> fault diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=radar%20fault" title=" radar fault"> radar fault</a> </p> <a href="https://publications.waset.org/abstracts/163350/radar-fault-diagnosis-strategy-based-on-deep-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163350.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">90</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3857</span> The Wear Recognition on Guide Surface Based on the Feature of Radar Graph</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Youhang%20Zhou">Youhang Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Weimin%20Zeng"> Weimin Zeng</a>, <a href="https://publications.waset.org/abstracts/search?q=Qi%20Xie"> Qi Xie</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Abstract: In order to solve the wear recognition problem of the machine tool guide surface, a new machine tool guide surface recognition method based on the radar-graph barycentre feature is presented in this paper. Firstly, the gray mean value, skewness, projection variance, flat degrees and kurtosis features of the guide surface image data are defined as primary characteristics. Secondly, data Visualization technology based on radar graph is used. The visual barycentre graphical feature is demonstrated based on the radar plot of multi-dimensional data. Thirdly, a classifier based on the support vector machine technology is used, the radar-graph barycentre feature and wear original feature are put into the classifier separately for classification and comparative analysis of classification and experiment results. The calculation and experimental results show that the method based on the radar-graph barycentre feature can detect the guide surface effectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=guide%20surface" title="guide surface">guide surface</a>, <a href="https://publications.waset.org/abstracts/search?q=wear%20defects" title=" wear defects"> wear defects</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20extraction" title=" feature extraction"> feature extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20visualization" title=" data visualization"> data visualization</a> </p> <a href="https://publications.waset.org/abstracts/18625/the-wear-recognition-on-guide-surface-based-on-the-feature-of-radar-graph" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18625.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">519</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3856</span> Adaptive Target Detection of High-Range-Resolution Radar in Non-Gaussian Clutter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lina%20Pan">Lina Pan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In non-Gaussian clutter of a spherically invariant random vector, in the cases that a certain estimated covariance matrix could become singular, the adaptive target detection of high-range-resolution radar is addressed. Firstly, the restricted maximum likelihood (RML) estimates of unknown covariance matrix and scatterer amplitudes are derived for non-Gaussian clutter. And then the RML estimate of texture is obtained. Finally, a novel detector is devised. It is showed that, without secondary data, the proposed detector outperforms the existing Kelly binary integrator. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=non-Gaussian%20clutter" title="non-Gaussian clutter">non-Gaussian clutter</a>, <a href="https://publications.waset.org/abstracts/search?q=covariance%20matrix%20estimation" title=" covariance matrix estimation"> covariance matrix estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=target%20detection" title=" target detection"> target detection</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20likelihood" title=" maximum likelihood"> maximum likelihood</a> </p> <a href="https://publications.waset.org/abstracts/24879/adaptive-target-detection-of-high-range-resolution-radar-in-non-gaussian-clutter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24879.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">464</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3855</span> Cognitive SATP for Airborne Radar Based on Slow-Time Coding</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fanqiang%20Kong">Fanqiang Kong</a>, <a href="https://publications.waset.org/abstracts/search?q=Jindong%20Zhang"> Jindong Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Daiyin%20Zhu"> Daiyin Zhu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Space-time adaptive processing (STAP) techniques have been motivated as a key enabling technology for advanced airborne radar applications. In this paper, the notion of cognitive radar is extended to STAP technique, and cognitive STAP is discussed. The principle for improving signal-to-clutter ratio (SCNR) based on slow-time coding is given, and the corresponding optimization algorithm based on cyclic and power-like algorithms is presented. Numerical examples show the effectiveness of the proposed method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=space-time%20adaptive%20processing%20%28STAP%29" title="space-time adaptive processing (STAP)">space-time adaptive processing (STAP)</a>, <a href="https://publications.waset.org/abstracts/search?q=airborne%20radar" title=" airborne radar"> airborne radar</a>, <a href="https://publications.waset.org/abstracts/search?q=signal-to-clutter%20ratio" title=" signal-to-clutter ratio"> signal-to-clutter ratio</a>, <a href="https://publications.waset.org/abstracts/search?q=slow-time%20coding" title=" slow-time coding"> slow-time coding</a> </p> <a href="https://publications.waset.org/abstracts/71518/cognitive-satp-for-airborne-radar-based-on-slow-time-coding" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71518.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">273</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3854</span> Lab Bench for Synthetic Aperture Radar Imaging System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Karthiyayini%20Nagarajan">Karthiyayini Nagarajan</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20V.%20Ramakrishna"> P. V. Ramakrishna </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Radar Imaging techniques provides extensive applications in the field of remote sensing, majorly Synthetic Aperture Radar (SAR) that provide high resolution target images. This paper work puts forward the effective and realizable signal generation and processing for SAR images. The major units in the system include camera, signal generation unit, signal processing unit and display screen. The real radio channel is replaced by its mathematical model based on optical image to calculate a reflected signal model in real time. Signal generation realizes the algorithm and forms the radar reflection model. Signal processing unit provides range and azimuth resolution through matched filtering and spectrum analysis procedure to form radar image on the display screen. The restored image has the same quality as that of the optical image. This SAR imaging system has been designed and implemented using MATLAB and Quartus II tools on Stratix III device as a System (Lab Bench) that works in real time to study/investigate on radar imaging rudiments and signal processing scheme for educational and research purposes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=synthetic%20aperture%20radar" title="synthetic aperture radar">synthetic aperture radar</a>, <a href="https://publications.waset.org/abstracts/search?q=radio%20reflection%20model" title=" radio reflection model"> radio reflection model</a>, <a href="https://publications.waset.org/abstracts/search?q=lab%20bench" title=" lab bench"> lab bench</a>, <a href="https://publications.waset.org/abstracts/search?q=imaging%20engineering" title=" imaging engineering"> imaging engineering</a> </p> <a href="https://publications.waset.org/abstracts/29485/lab-bench-for-synthetic-aperture-radar-imaging-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29485.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">497</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3853</span> Design and Implementation of a Lab Bench for Synthetic Aperture Radar Imaging System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Karthiyayini%20Nagarajan">Karthiyayini Nagarajan</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20V.%20RamaKrishna"> P. V. RamaKrishna</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Radar Imaging techniques provides extensive applications in the field of remote sensing, majorly Synthetic Aperture Radar(SAR) that provide high resolution target images. This paper work puts forward the effective and realizable signal generation and processing for SAR images. The major units in the system include camera, signal generation unit, signal processing unit and display screen. The real radio channel is replaced by its mathematical model based on optical image to calculate a reflected signal model in real time. Signal generation realizes the algorithm and forms the radar reflection model. Signal processing unit provides range and azimuth resolution through matched filtering and spectrum analysis procedure to form radar image on the display screen. The restored image has the same quality as that of the optical image. This SAR imaging system has been designed and implemented using MATLAB and Quartus II tools on Stratix III device as a System(lab bench) that works in real time to study/investigate on radar imaging rudiments and signal processing scheme for educational and research purposes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=synthetic%20aperture%20radar" title="synthetic aperture radar">synthetic aperture radar</a>, <a href="https://publications.waset.org/abstracts/search?q=radio%20reflection%20model" title=" radio reflection model"> radio reflection model</a>, <a href="https://publications.waset.org/abstracts/search?q=lab%20bench" title=" lab bench"> lab bench</a> </p> <a href="https://publications.waset.org/abstracts/29475/design-and-implementation-of-a-lab-bench-for-synthetic-aperture-radar-imaging-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29475.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">468</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3852</span> Three-Dimensional Positioning Method of Indoor Personnel Based on Millimeter Wave Radar Sensor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chao%20Wang">Chao Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zuxue%20Xia"> Zuxue Xia</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenhai%20Xia"> Wenhai Xia</a>, <a href="https://publications.waset.org/abstracts/search?q=Rui%20Wang"> Rui Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiayuan%20Hu"> Jiayuan Hu</a>, <a href="https://publications.waset.org/abstracts/search?q=Rui%20Cheng"> Rui Cheng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aiming at the application of indoor personnel positioning under smog conditions, this paper proposes a 3D positioning method based on the IWR1443 millimeter wave radar sensor. The problem that millimeter-wave radar cannot effectively form contours in 3D point cloud imaging is solved. The results show that the method can effectively achieve indoor positioning and scene construction, and the maximum positioning error of the system is 0.130m. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=indoor%20positioning" title="indoor positioning">indoor positioning</a>, <a href="https://publications.waset.org/abstracts/search?q=millimeter%20wave%20radar" title=" millimeter wave radar"> millimeter wave radar</a>, <a href="https://publications.waset.org/abstracts/search?q=IWR1443%20sensor" title=" IWR1443 sensor"> IWR1443 sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=point%20cloud%20imaging" title=" point cloud imaging"> point cloud imaging</a> </p> <a href="https://publications.waset.org/abstracts/155483/three-dimensional-positioning-method-of-indoor-personnel-based-on-millimeter-wave-radar-sensor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155483.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">113</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3851</span> 2D Point Clouds Features from Radar for Helicopter Classification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Danilo%20Habermann">Danilo Habermann</a>, <a href="https://publications.waset.org/abstracts/search?q=Aleksander%20Medella"> Aleksander Medella</a>, <a href="https://publications.waset.org/abstracts/search?q=Carla%20Cremon"> Carla Cremon</a>, <a href="https://publications.waset.org/abstracts/search?q=Yusef%20Caceres"> Yusef Caceres</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to analyze the ability of 2d point clouds features to classify different models of helicopters using radars. This method does not need to estimate the blade length, the number of blades of helicopters, and the period of their micro-Doppler signatures. It is also not necessary to generate spectrograms (or any other image based on time and frequency domain). This work transforms a radar return signal into a 2D point cloud and extracts features of it. Three classifiers are used to distinguish 9 different helicopter models in order to analyze the performance of the features used in this work. The high accuracy obtained with each of the classifiers demonstrates that the 2D point clouds features are very useful for classifying helicopters from radar signal. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=helicopter%20classification" title="helicopter classification">helicopter classification</a>, <a href="https://publications.waset.org/abstracts/search?q=point%20clouds%20features" title=" point clouds features"> point clouds features</a>, <a href="https://publications.waset.org/abstracts/search?q=radar" title=" radar"> radar</a>, <a href="https://publications.waset.org/abstracts/search?q=supervised%20classifiers" title=" supervised classifiers"> supervised classifiers</a> </p> <a href="https://publications.waset.org/abstracts/85676/2d-point-clouds-features-from-radar-for-helicopter-classification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85676.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">227</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3850</span> Lunar Exploration based on Ground-Based Radar: Current Research Progress and Future Prospects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiangwan%20Xu">Jiangwan Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Chunyu%20Ding"> Chunyu Ding</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Lunar exploration is of significant importance in the development and utilization of in-situ lunar resources, water ice exploration, space and astronomical science, as well as in political and military strategy. In recent years, ground-based radar (GBR) has gained increasing attention in the field of lunar exploration due to its flexibility, low cost, and penetrating capabilities. This paper reviews the scientific research on lunar exploration using GBR, outlining the basic principles of GBR and the progress made in lunar exploration studies. It introduces the fundamental principles of lunar imaging using GBR, and systematically reviews studies on lunar surface layer detection, inversion of lunar regolith dielectric properties, and polar water ice detection using GBR. In particular, the paper summarizes the current development status of Chinese GBR and forecasts future development trends in China. This review will enhance the understanding of lunar exploration results using GBR radar, systematically demonstrate the main applications and scientific achievements of GBR in lunar exploration, and provide a reference for future GBR radar lunar exploration missions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ground-based%20radar" title="ground-based radar">ground-based radar</a>, <a href="https://publications.waset.org/abstracts/search?q=lunar%20exploration" title=" lunar exploration"> lunar exploration</a>, <a href="https://publications.waset.org/abstracts/search?q=radar%20imaging" title=" radar imaging"> radar imaging</a>, <a href="https://publications.waset.org/abstracts/search?q=lunar%20surface%2Fsubsurface%20detection" title=" lunar surface/subsurface detection"> lunar surface/subsurface detection</a> </p> <a href="https://publications.waset.org/abstracts/190029/lunar-exploration-based-on-ground-based-radar-current-research-progress-and-future-prospects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190029.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">30</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=secondary%20surveillance%20radar&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=secondary%20surveillance%20radar&page=3">3</a></li> <li class="page-item"><a class="page-link" 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