上行多用户MIMO系统检测算法及抗远近效应研究  

Detecting Algorithm and Near-Far Resistant in Uplink Multiuser MIMO

作　　者：马俊[1] 王大鸣[1] 崔维嘉[1] 

机构地区：[1]解放军信息工程大学信息系统工程学院,郑州450002

出　　处：《数据采集与处理》2014年第3期390-396,共7页Journal of Data Acquisition and Processing

基　　金：国家科技重大专项(2011ZX03003-003-02)资助项目;国家高技术研究发展计划("八六三"计划)重点(2012AA01A502;2012AA01A505)资助项目

摘　　要：上行多用户多输入多输出(Multiple input multiple output,MIMO)通信系统必须抑制用户间的共信道干扰,提出了一种基于最大信号干扰噪声比准则的线性干扰抑制算法,并且给出了存在信道估计误差时的改进算法。该算法与块对角化(Block diagonalization,BD)算法相比考虑了噪声的影响,性能有较大的提升。然后为了对抗非理想信道状态信息对系统造成的不利影响,将Alamouti空时编码用于多用户MIMO系统中以提高分集增益,并提出了一种线性处理方法。最后针对存在远近效应时算法的局限性,提出了一种分组优化算法,以保证各用户均能达到所期望的容量。仿真结果表明本文所提算法具有优异的性能。Co-channel interference must be suppressed in uplink multiuser multiple input multiple output（MIMO） system.A linear uplink multiuser MIMO detecting algorithm is proposed based on the criterion of maximizing signal to interference noise ratio.The effect of channel estimation errors on system performance is also studied and the improved robust algorithm is provided.Compared with the block diagonalization algorithm,the proposed algorithm embodies the influence of noise,so the detection performance is greatly improved.Then a linear method of reconstructing signals in the base station is proposed to employ Alamouti space-time coding in uplink multiuser MIMO system for further improving the detection performance in the presence of channel estimation errors.Finally,aiming at the near-far effect,an optimization algorithm of grouping users is proposed to ensure that each user can achieve an acceptable capacity.Simulation shows that the proposed algorithms achieve good performance.

关 键 词：多用户MIMO 上行链路 干扰抑制 Alamouti空时编码 远近效应 

分 类 号：TN929.5[电子电信—通信与信息系统]