大规模MIMO系统中导频污染空域降低方法  

Spatial Domain Method for Pilot Contamination Reduction in Massive MIMO Systems

作　　者：尚国武 李辉[1] 

机构地区：[1]中国科学技术大学中国科学院无线光电通信重点实验室,安徽合肥230026

出　　处：《通信技术》2016年第8期1011-1016,共6页Communications Technology

基　　金：国家高技术研究发展计划(863计划)(No.2014AA01A703);国家自然科学基金(No.61471335)~~

摘　　要：导频污染是限制大规模MIMO通信系统总体性能的主要瓶颈。针对导频污染问题,提出了一种基于二维来波方向(2D-DOA)估计的空域降低方法。首先对该方法进行理论分析,然后根据提出的两种基于压缩感知(CS)的2D-DOA估计方法获得目标信号的DOA估计值,进而利用该估计值对接收信号做预处理,以达到抑制干扰和噪声,降低导频污染的目的。仿真结果表明:所提CS-2D-DOA估计方法是有效的;所提空域降低方法可以大幅度降低导频污染,显著提升系统性能。Pilot contamination effect constitutes a major bottleneck for overall performance of massive multiple-input and multiple-output （MIMO） communication systems. Firstly, the theoretical analysis of the method is given. Then the desire signal＇s DOA is achieved by two 2D-DOA estimation methods based on compressive sensing （CS）, which are proposed in this paper. Then the received signal is preprocessed by the estimations, so as to achieve the purpose of suppressing the interference and noise, and reducing the pilot contamination. Simulation results show that the proposed single snapshot CS-2D-DOA estimation methods are effective, while the spatial domain method can reduce pilot contamination greatly, and improve the system performance significantly.

关 键 词：大规模MIMO 导频污染 压缩感知 2D DOA估计 

分 类 号：TN929.5[电子电信—通信与信息系统]