Blind separation of mutually correlated sources using precoders

Xiang, Yong, Ng, Sze Kui and Nguyen, Van Khanh 2010, Blind separation of mutually correlated sources using precoders, IEEE transactions on neural networks, vol. 21, no. 1, pp. 82-90.

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Title Blind separation of mutually correlated sources using precoders
Author(s) Xiang, Yong
Ng, Sze Kui
Nguyen, Van Khanh
Journal name IEEE transactions on neural networks
Volume number 21
Issue number 1
Start page 82
End page 90
Total pages 9
Publisher IEEE
Place of publication New York, N.Y.
Publication date 2010-01
ISSN 1045-9227
1941-0093
Keyword(s) blind source separation (BSS)
mutually correlated sources
precoders
second-order statistics (SOS)
Summary 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.
Language eng
Field of Research 090609 Signal Processing
Socio Economic Objective 890104 Mobile Telephone Networks and Services
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Copyright notice ©2009, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30032309

Document type: Journal Article
Collection: School of Engineering
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