Double Error Function Decision Feedback Momentum Blind Equalization Algorithm

Abstract:

Against the shortcomings of slow convergence and large residual error in norm decision feedback blind equalization, double error function decision feedback blind equalization algorithm based on orthogonal wavelet transform momentum (WT-DMCMA-DFE)was proposed. In the algorithm, the four combinations of two error functions, respectively, to make adjustments on the former right and the feedback right, and add momentum algorithm to the former right and the feedback right to accelerate the convergence rate, escape correlation by using the orthogonal wavelet transform and normalize the energy to further improve performance of the convergence. Underwater acoustic channel simulation results show that convergence performance and mean square error of WT-MCMA-DFE, WT-H-HMCMA-DFE, WT-H-CMCMA-DFE is different.

• Periodical: Advanced Materials Research (Volumes 328-330)
• Pages: 2097-2101
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.328-330.2097
• Online since: September 2011
• Authors: Li Kun Xing, Long Wu, Ye Cai Guo
• Keywords: Blind Equalization, Decision Feedback, Double-Error, Momentum

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