<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/3074" mdate="2007-02-21 00:00:00"> <author>S. Bourennane and A. Bendjama</author> <title>Identification of Wideband Sources Using Higher Order Statistics in Noisy Environment</title> <pages>297 - 300</pages> <year>2007</year> <volume>1</volume> <number>2</number> <journal>International Journal of Electronics and Communication Engineering</journal> <ee>https://publications.waset.org/pdf/3074</ee> <url>https://publications.waset.org/vol/2</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>This paper deals with the localization of the wideband sources. We develop a new approach for estimating the wide band sources parameters. This method is based on the high order statistics of the recorded data in order to eliminate the Gaussian components from the signals received on the various hydrophones.In fact the noise of sea bottom is regarded as being Gaussian. Thanks to the coherent signal subspace algorithm based on the cumulant matrix of the received data instead of the crossspectral matrix the wideband correlated sources are perfectly located in the very noisy environment. We demonstrate the performance of the proposed algorithm on the real data recorded during an underwater acoustics experiments. </abstract> <index>Open Science Index 2, 2007</index> </article>