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基于高阶统计量的MIMO系统辨识与均衡算法
引用本文:王宏志,孙树宇,何斌,姚亮. 基于高阶统计量的MIMO系统辨识与均衡算法[J]. 吉林大学学报(理学版), 2009, 47(1): 115-119
作者姓名:王宏志  孙树宇  何斌  姚亮
作者单位:长春工业大学,计算机科学与工程学院,长春,130012;中国科学院,长春光学精密机械与物理研究所,长春,130033
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MIMO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.

关 键 词:频域  MIMO系统  高阶统计量  辨识与均衡
收稿时间:2008-06-23

Identification and Equalization Algorithm for MIMO System Based on Higher Order Statistics
WANG Hong-zhi,SUN Shu-yu,HE Bin,YAO Liang. Identification and Equalization Algorithm for MIMO System Based on Higher Order Statistics[J]. Journal of Jilin University: Sci Ed, 2009, 47(1): 115-119
Authors:WANG Hong-zhi  SUN Shu-yu  HE Bin  YAO Liang
Affiliation:1. College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China; 2. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Abstract: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 con...
Keywords:frequency domain  MIMO system  higher order statistics  identification and equalization  
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