Nonlinear adaptive blind whitening for MIMO channels

被引：7

作者：

Chen, HF ^{[1
]}

Cao, XR

Fang, HT

Zhu, J

机构：

[1] Chinese Acad Sci, Inst Syst Sci, Lab Syst & Control, Beijing 100080, Peoples R China

[2] Hong Kong Univ Sci & Technol, Kowloon, Hong Kong, Peoples R China

[3] ESS Technol Inc, Fremont, CA 94538 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2005年 / 53卷 / 08期

基金：

中国国家自然科学基金;

关键词：

blind equalization; blind intersymbol interference (ISI) cancellation; blind source separation (BSS); multiple-input-multiple-output (MIMO) linear systems; nonlinear blind equalization; second-order statistics (SOS); signal uncorrelation; signal whitening;

D O I：

10.1109/TSP.2005.850338

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

yA nonlinear adaptive whitening method is proposed for blind deconvolution of MIMO systems by whitening the received signals in both time and space, with a highly nonlinear function of the past output data. The whitened signals are ISI-free and can be viewed as outputs of a memoryless paraunitary mixing system. The convergence of the proposed recursive algorithm is proved. Numerical simulation shows that the whitening method proposed in the paper works well, even if the output signal is corrupted by additive noise.

引用

页码：2635 / 2647

页数：13

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