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Adaptive blind source separation using constant modulus criterion and signal mutual information

conference contribution
posted on 2005-01-01, 00:00 authored by Yong XiangYong Xiang, Nong Gu, K Wong
We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input multi-output (MIMO) channels. It is known that the constant modulus (CM) criterion can be used to extract unknown source signals. However, the existing CM based algorithms normally extract the source signals in a serial manner. Consequently, the accuracy in extracting each source signal, except for the first one, depends on the accuracy of previous source extraction. This estimation error propagation (accumulation) causes severe performance degradation. In this paper, we propose a new adaptive separation algorithm that can separate all source signals simultaneously by directly updating the separation matrix. The superior performance of the new algorithm is demonstrated by simulation examples

History

Title of proceedings

2005 IEEE International Conference on Industrial Technology IEEE ICIT 2005, Hong Kong : conference proceedings : 14-17 December 2005, City University of Hong Kong

Event

IEEE International Conference on Industrial Technology (2005 : Hong Kong)

Pagination

1371 - 1375

Publisher

IEEE Xplore

Location

Hong Kong

Place of publication

Piscataway, N.J.

Start date

2005-12-14

End date

2005-12-17

ISBN-13

9780780394841

ISBN-10

0780394844

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2005 IEEE

Editor/Contributor(s)

J Hung