Multichannel blind deconvolution and equalization using the natural gradient

S. Amari, S. C. Douglas, A. Cichocki, H. H. Yang

Research output: Contribution to conferencePaperpeer-review

254 Citations (SciVal)

Abstract

Multichannel deconvolution and equalization is an important task for numerous applications in communications, signal processing, and control. In this paper, we extend the efficient natural gradient search method in [1] to derive a set of on-line algorithms for combined multichannel blind source separation and time-domain deconvolution/equalization of additive, convolved signal mixtures. We prove that the doubly-infinite multichannel equalizer based on the maximum entropy cost function with natural gradient possesses the so-called `equivariance property' such that its asymptotic performance depends on the normalized stochastic distribution of the source signals and not on the characteristics of the unknown channel. Simulations indicate the ability of the algorithm to perform efficient simultaneous multichannel signal deconvolution and source separation.

Original languageEnglish
Pages101-104
Number of pages4
Publication statusPublished - 1997
Externally publishedYes
EventProceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97 - Paris, Fr
Duration: 16 Apr 199718 Apr 1997

Conference

ConferenceProceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97
CityParis, Fr
Period16/04/9718/04/97

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