Analysis of a reduced-ML algorithm in BLAST  

作　　者：PAN Wen JIANG ZhanJun DU ZhengFeng WANG Yan YOU XiaoHu 

机构地区：[1]National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

出　　处：《Science in China(Series F)》2008年第12期2094-2100,共7页中国科学（F辑英文版）

基　　金：the National Natural Science Foundation of China (Grant No. 60496311)

摘　　要：The performance of ML algorithm is much better than other algorithms in the MIMO wireless communication system. However, it is based on the expense of an increase in the complexity. A reduced maximum likelihood （RML） algorithm is proposed in this paper, which derives from the combination of the ML and ZF algorithms. It is shown that the complexity of RML is far lower than that of ML, while in the same performance condition by both theoretic analyses and simulation.The performance of ML algorithm is much better than other algorithms in the MIMO wireless communication system. However, it is based on the expense of an increase in the complexity. A reduced maximum likelihood （RML） algorithm is proposed in this paper, which derives from the combination of the ML and ZF algorithms. It is shown that the complexity of RML is far lower than that of ML, while in the same performance condition by both theoretic analyses and simulation.

关 键 词：MIMO BLAST ML 

分 类 号：TN92[电子电信—通信与信息系统]