Abstract: In?MMSE?equalization?of?Multiple-Input?Multiple-Output?（MIMO）?system,?imprecision?due?to?finite?sample?size?in?the?estimation?of?the?sensor?covariance?matrix?and?the?channel?matrix?has?a?negative?impact?on?the?detection?of?the?transmitted?data?symbols.?Independent?Component?Analysis?（ICA）?is?proposed?to?refine?the?conventional?equalizer?with?optimal?delay?calculation?method.?The?simulation?results?indicate?that?this?algorithm?possesses?better?robustness,?less?calculation?complexity?and?more?outstanding?equalization

Key words: MIMO （Multiple-Input Multiple-Output） , ICA （Independent Component Analysis） , blind space-time equalization , MMSE , equalization delay ;

摘要： 多输入多输出系统的MMSE均衡中,由于接收端采样大小的限制,对观测信号协方差矩阵的估计和信道的盲 辨识误差会严重影响均衡性能,采用独立分量分析作为一种辅助手段改进传统的均衡器,并选择最佳均衡时延优 化算法。仿真结果表明,该算法提高了传统算法的鲁棒性,在大大降低计算复杂度的同时改善了均衡性能。

关键词: 多输入多输出, 独立分量分析, 空时盲均衡, 最小均方误差, 均衡时延