Blind source separation based on constant modulus criterion and signal mutual information

Authors:
Yong Xiang
Affiliations:
School of Engineering and Information Technology, Deakin University, Geelong, VIC 3217, Australia
Venue:
Computers and Electrical Engineering
Year:
2008

Citing 10
Cited 2

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Abstract

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) will cause severe performance degradation. In this letter, 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.