一种用于大规模MIMO信号检测的改进算法

Improved signal detection algorithm for massive-MIMO

近几年来,大规模多输入多输出(multi-input multi-output,MIMO)的信号检测问题已经引起了人们的关注,在研究了主动禁忌搜索(reactive tabu search,RTS)算法和置信度传播(belief propagation,BP)算法的基础上,提出了一种新的RTS-BP联合检测算法,给出了2种不同的信道模型下的仿真对比图。结果表明,在不同的调制阶数情况下,RTS-BP算法性能优于单一的RTS和BP算法,且在一定程度上降低了大规模MIMO检测的高维效应对信号层数的要求。

In recent years,people have paid more and more attention to the signal-detection problem of large-MIMO. In this paper,on the basis of studying the following two algorithms- the reactive tabu search（ RTS） and the belief propagation（ BP）,a new RTS-BP joint detection algorithm is proposed,and the comparison simulation charts of two different channel models are provided. The results show that under the different modulation orders,the performance of RTS-BP algorithm is indeed superior to the mere RTS or BP algorithm. To some extent,the RTS-BP algorithm has lowered the standards which high dimensional effect of massive-MIMO detection has required for signal layers.