Adaptive blind source separation using constant modulus criterion and signal mutual information
Xiang, Yong, Gu, Nong and Wong, K.L. 2005, Adaptive blind source separation using constant modulus criterion and signal mutual information, in 2005 IEEE International Conference on Industrial Technology IEEE ICIT 2005, Hong Kong : conference proceedings : 14-17 December 2005, City University of Hong Kong, IEEE Xplore, Piscataway, N.J., pp. 1371-1375.
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Title
Adaptive blind source separation using constant modulus criterion and signal mutual information
2005 IEEE International Conference on Industrial Technology IEEE ICIT 2005, Hong Kong : conference proceedings : 14-17 December 2005, City University of Hong Kong
Editor(s)
Hung, J. C.
Publication date
2005
Conference series
International Conference on Industrial Technology
Start page
1371
End page
1375
Publisher
IEEE Xplore
Place of publication
Piscataway, N.J.
Summary
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