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机构地区:[1]Dept.of Electronic Engineering,Shanghai University of Electric Power [2]Dept. of Electronic Engineering,Shanghai Jiaotong University
出 处:《Journal of Harbin Institute of Technology(New Series)》2008年第2期176-178,共3页哈尔滨工业大学学报(英文版)
基 金:the National Natural Science Foundation of China (Grant No.60172018)
摘 要:This paper presents an adaptive linearly constrained second-order least mean-square (LC-SOLMS) algorithm for interference cancellation in space-time block coded MIMO systems with fading channels. By taking mean-output-energy (MOE) optimization method, an adaptive linear detection algorithm was built up, which can suppress multiple access interference and noise. Simulation results illustrate that the proposed algorithm has great interference cancellation capability and faster convergence performance.This paper presents an adaptive linearly constrained second-order least mean-square (LC-SOLMS) algorithm for interference cancellation in space-time block coded MIMO systems with fading channels. By taking mean-output-energy (MOE) optimization method, an adaptive linear detection algorithm was built up, which can suppress multiple access interference and noise. Simulation results illustrate that the proposed algorithm has great interference cancellation capability and faster convergence performance.
关 键 词:soace-time block code MIMO adaotive interference cancellation MOE
分 类 号:TN911[电子电信—通信与信息系统]
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