不完全信道信息下基于信号特征的MIMO检测算法研究  

Detection algorithms in MIMO system with imperfect channel information by exploiting the signal properties

作　　者：丁跃华[1] 李南希[2] 刘蕴[1] 冯穗力[1] 

机构地区：[1]华南理工大学电子与信息学院,广州广东510640 [2]华南师范大学教育信息技术学院,广州广东510631

出　　处：《重庆邮电大学学报（自然科学版）》2012年第5期585-588,共4页Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)

基　　金：认知无线电与信息处理省部共建教育部重点实验室教育部重点实验室开放基金(2011KF07)~~

摘　　要：针对接收端信道信息不全的情况提出一种基于信号特征利用的多输入多输出(multiple input multiple out-put,MIMO)接收机算法,该算法通过利用非循环信号的特征,扩展了接收机的处理维数以更好地抑制噪声。理论证明和数字仿真均表明,与传统的迫零(zero-forcing,ZF)和最小均方误(minimum mean square error,MMSE)接收机相比,提出的算法可以将噪声和信道估计错误的影响减少一半以上,而提出算法的复杂度却几乎保持不变。结合排序串行干扰消除(ordered successive interference canceling,OSIC)法,提出算法可以达到和最大似然法相当的误码率性能。To deal with detection problem in multiple input multiple output（MIMO）system with imperfect channel information,detection algorithms are proposed in this paper by exploiting the signal properties.The processing dimensions are expanded by exploitation of non circularity to suppress the noise.It is demonstrated by both theoretical proof and numerical simulation that,compared to traditional zero-forcing（ZF）/minimum mean square error（MMSE）detectors,the proposed algorithms can reduce by at least half the impact caused by noise and channel estimation errors,while retaining almost the same complexity as traditional ZF/MMSE.In addition,with the ordered successive interference canceling（OSIC）,the proposed algorithms can achieve quasi-ML performance.

关 键 词：多输入多输出(MIMO) 迫零 最小均方误(MMSE) 信号检测 阵列信号处理 

分 类 号：TN921[电子电信—通信与信息系统]