Blind equalization using approximate maximum likelihood source separation

S. Choi, A. Cichocki

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

Blind equalization of single input multiple output FIR channels can be reformulated as the problem of blind source separation. It has been shown that the natural gradient-based source separation method could recover the source successfully for ill-conditioned channels since it has the equivariant property. However, the effect of additive noise was not considered. A new approximate maximum likelihood source separation (AMLSS) method using the natural gradient is developed and applied to the task of blind equalization. It is shown that the proposed method outperforms the BSBE in the presence of Gaussian noise.

Original languageEnglish
Pages (from-to)61-62
Number of pages2
JournalElectronics Letters
Volume37
Issue number1
DOIs
Publication statusPublished - 4 Jan 2001
Externally publishedYes

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