MIMO Decision Feedback Equalization Based on Improved Log-Normal Error Function CMA Algorithm
Zhibin Xie · Jisuanji fangzhen · 2009
Log-normal error function CMA algorithm has fast convergence rate,but it incurs large mean square error.To solve this problem,an improved log-normal error function CMA algorithm(ILNCMA) was proposed and applied into the ordered successive interference cancellation(OSIC) MIMO decision feedback equalization(DFE).The ILNCMA algorithm combined the feedforward data vector with the feedback data vector and cancelled decided symbols from the received symbols successively.The ILNCMA-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 ordered decision feedback equalization based on recursive least square algorithm.