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Blind beamforming and maximum ratio combining by kurtosis maximization for source separation in multipath
Conference paper

Blind beamforming and maximum ratio combining by kurtosis maximization for source separation in multipath

Chong-Yung Chi and Ching-Yung Chen
IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, Vol.2001-January, pp.243-246
2001

Abstract

Array signal processing Blind source separation Data mining Delay effects Delay estimation Direction of arrival estimation Multipath channels Pattern classification Source separation Wireless communication
Ding and Nguyen's (2000) kurtosis maximization algorithm (KMA) for blind signal separation and antenna beamforming assumes the absence of multipath channels. This paper proposes a multistage source separation (MSS) algorithm assuming that source signals are independent identically distributed (iid) non-Gaussian and received in the presence of multiple paths (as practically happens in wireless communications). The proposed MSS algorithm includes extraction and blind maximum ratio combing (BMRC) of a source signal from different paths using a fast KMA (FKMA), besides signal classification, time delay estimation, and cancellation of the contribution of the extracted source signal from the received signal at each stage. The proposed MSS algorithm with no need of prior information about the array configuration and direction of arrival (DOA) is supported through computer simulation. © 2001 IEEE.

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