Title :
Nonlinear adaptive blind whitening for MIMO channels
Author :
Chen, Han-Fu ; Cao, Xi-Ren ; Fang, Hai-Tao ; Zhu, Jie
Author_Institution :
Lab. of Syst. & Control, Chinese Acad. of Sci., Beijing, China
Abstract :
A 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.
Keywords :
AWGN channels; MIMO systems; adaptive signal processing; blind equalisers; blind source separation; convergence of numerical methods; deconvolution; interference suppression; intersymbol interference; nonlinear functions; recursive estimation; MIMO channel; blind deconvolution; blind equalization; blind intersymbol interference cancellation; blind source separation; convergence; memoryless paraunitary mixing system; multiple-input-multiple-output linear system; nonlinear adaptive blind whitening method; recursive algorithm; second-order statistics; Blind equalizers; Blind source separation; Deconvolution; Digital communication; Distortion; Higher order statistics; Intersymbol interference; MIMO; Signal processing algorithms; Source separation; 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;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2005.850338
