基于迭代最小二乘的按序串行干扰消除MIMO判决反馈算法  

Successive Interference Cancellation MIMO Decision Feedback Equalization Based on Recursive Least Square Algorithm

作　　者：王赟[1] 汪晋宽[1] 解志斌[1] 

机构地区：[1]东北大学信息科学与工程学院,沈阳110004

出　　处：《系统仿真学报》2009年第4期1121-1124,1129,共5页Journal of System Simulation

基　　金：博士学科点专项科研基金资助项目(20050145019)

摘　　要：基于迭代最小二乘的按序串行干扰消除MIMO判决反馈算法在应用迭代最小二乘算法得到的前馈数据向量中按序将已检测并判决出的信号进行消除,并将前馈数据向量合并到反馈数据向量中,避免了已判决出的信号对前馈数据向量的干扰,使系统检测性能得到了明显改善。在多散射物的无线通信环境下进行仿真实验,结果表明与传统的采用迭代最小二乘按序判决反馈算法相比,所提算法检测性能提高,误码率显著下降。The ordered successive interference cancellation MIMO decision feedback equalization based on recursive least square algorithm （RLS-OSIC-DFE） was obtained by canceling decided symbols from the received symbols successively with the decision feed-forward equalizer （DFE） solution as a well known expression encountered in fast recursive least squares （RLS） adaptive algorithms. The decision feedback equalizer replaces a convolution of the decision feed-forward equalizer with the channel. The RLS-OSIC-DFE algorithm avoids the interference of the decided symbols and improves the detection performance. In the environment where lots of wireless communications were scattered over, simulation testing and the results show that the detection performance of proposed algorithm is dramatically improved in comparison with the traditional ordered decision feedback equalization based on recursive least square algorithm （RLS-O-DFE）.

关 键 词：迭代最小二乘 按序串行干扰消除 判决反馈 MIMO 

分 类 号：TN911.23[电子电信—通信与信息系统]