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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 WongWe 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
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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 KongEvent
IEEE International Conference on Industrial Technology (2005 : Hong Kong)Pagination
1371 - 1375Publisher
IEEE XploreLocation
Hong KongPlace of publication
Piscataway, N.J.Start date
2005-12-14End date
2005-12-17ISBN-13
9780780394841ISBN-10
0780394844Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2005 IEEEEditor/Contributor(s)
J HungUsage metrics
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