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《Journal of Dalian Minzu University》 2018-03
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Convex Combination Real Time Decision Feedback Sparse Underwater Acoustic Channel Blind Equalization Algorithm

XIAO Ying;DONG Yu-hua;School of Information and Communication Engineering,Dalian Minzu University;  
According to the sparse characteristics of underwater acoustic channel in high speed communication system,a convex combination real time decision feedback blind equalization algorithm was proposed. The blind equalizer is divided into two branches,called maintaining equalizer branch and sparse equalizer branch. And the sparse equalizer branch carries sparse processing according to the instantaneous gradient and the energy of the maintaining equalizer branch. The proposed algorithm avoids sparseness threshold setting,which can be applied to different sparse underwater acoustic channel and communication signal conditions. Furthermore,the maintaining equalizer branch can recover the sparse equalizer branch in time for the time variant sparse underwater acoustic channel,which makes the algorithm have strong tracking and cold starting ability. The simulation results of typical sparse underwater acoustic channel show that the convex combination real time decision feedback sparse underwater acoustic channel blind equalization algorithm has some advantages over full order decision feedback blind equalization algorithm,such as robustness,simple calculation,faster convergence rate and lower steady state residual error,which is beneficial to the application of the algorithm in underwateracoustic communication system.
【Fund】: 国家自然科学基金资助项目(61201418);; 辽宁省自然科学基金资助项目(20170540198);; 辽宁省高等学校优秀人才支持计划项目(LJQ2013126);; 中央高校基本科研业务费专项资金资助项目(DC201502060302)
【CateGory Index】: TN929.3
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