基于高阶统计量的MIMO系统辨识与均衡算法  

Identification and Equalization Algorithm for MIMO System Based on Higher Order Statistics

作　　者：王宏志 孙树宇[1] 何斌[2] 姚亮[1] 

机构地区：[1]长春工业大学计算机科学与工程学院,长春130012 [2]中国科学院长春光学精密机械与物理研究所,长春130033

出　　处：《吉林大学学报（理学版）》2009年第1期115-119,共5页Journal of Jilin University:Science Edition

基　　金：国家科技支撑计划项目基金(批准号:2007BAE17B00)

摘　　要：将高阶统计量与盲分离的移位阻断SHIBBS算法相结合,利用高阶统计量能辨识非最小相位系统和SHIBBS算法分离效果与计算量适中的特点,提出一种在频域内对M IMO系统进行辨识的方法;针对在此解混后的信号存在排序不确定性的问题,直接在频域上采用互四阶累计量,从而很好地对信号进行了分离;针对信号的比例模糊问题,利用LMS自适应的恒模算法(CMA)对排序后信号均衡补偿,仿真实验证明了此算法的有效性.Based on the combination of higher order statistics that can identify non-minimum phase system with shift block method of blind separation （SHIBBS） algorithm which is good in separation and moderate amount of computation, an algorithm was proposed to identify the multi-input and multi-output （MIMO） system in frequency domain; but the received signals are uncertain in permutation, which is solved by means of cross fourth-order statistics and the signals are separated well. To the problem of scale ambiguity, the constant modulus algorithm employing the LMS self-adaptation is used in equalizing and compensating for the sorted signals. Simulations show that the proposed algorithm is feasible and practical.

关 键 词：频域 MIMO系统 高阶统计量 辨识与均衡 

分 类 号：TN911.72[电子电信—通信与信息系统]