File(s) under permanent embargo

Blind separation of mutually correlated sources using precoders

journal contribution
posted on 2010-01-01, 00:00 authored by Yong XiangYong Xiang, S Ng, V Nguyen
This paper studies the problem of blind source separation (BSS) from instantaneous mixtures with the assumption that the source signals are mutually correlated.We propose a novel approach to BSS by using precoders in transmitters.We show that if the precoders are properly designed, some cross-correlation coefficients of the coded signals can be forced to be zero at certain time lags. Then, the unique correlation properties of the coded signals can be exploited in receiver to achieve source separation. Based on the proposed precoders, a subspace-based algorithm is derived for the blind separation of mutually correlated sources. The effectiveness of the algorithm is illustrated by simulation examples.

History

Journal

IEEE transactions on neural networks

Volume

21

Issue

1

Pagination

82 - 90

Publisher

IEEE

Location

New York, N.Y.

ISSN

1045-9227

eISSN

1941-0093

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2009, IEEE