<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/10000338" mdate="2015-01-02 00:00:00"> <author>Mohammed Boutalline and Imad Badi and Belaid Bouikhalene and Said Safi</author> <title>Blind Identification and Equalization of CDMA Signals Using the LevenvbergMarquardt Algorithm</title> <pages>1270 - 1275</pages> <year>2014</year> <volume>8</volume> <number>7</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/10000338</ee> <url>https://publications.waset.org/vol/91</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>In this paper we describe the LevenvbergMarquardt (LM) algorithm for identification and equalization of CDMA signals received by an antenna array in communication channels. The synthesis explains the digital separation and equalization of signals after propagation through multipath generating intersymbol interference (ISI). Exploiting discrete data transmitted and three diversities induced at the reception, the problem can be composed by the Block Component Decomposition (BCD) of a tensor of order 3 which is a new tensor decomposition generalizing the PARAFAC decomposition. We optimize the BCD decomposition by LevenvbergMarquardt method gives encouraging results compared to classical alternating least squares algorithm (ALS). In the equalization part, we use the Minimum Mean Square Error (MMSE) to perform the presented method. The simulation results using the LM algorithm are important. </abstract> <index>Open Science Index 91, 2014</index> </article>