Title: Underdetermined-order recursive least-squares CMA for blind channel equalization
Abstract: Based on the analysis of the disadvantages of traditional blind adaptive channel equalization CMA,this paper presents the underdetermined-order recursive least-squares constant modulus algorithm for blind channel equalization(URL-CMA).In each step,the algorithm adds new data in a matrix form to increase the information of convergence.The performance of the proposed algorithm was compared with CMA by QAM signal in simulation.The result shows that the URL-CMA is superior and more robust in noise environments under multipath propagation channel and can effectively improve the channel equalization by increasing convergence rate and decreasing the mean square errors and inter-symbol interference(ISI).
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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