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Blind source extraction (BSE) is often posed as the maximization of a statistical criterion under a unitary constraint. This paper addresses the convergence problem of a kurtosis-based criterion in the presence of noise. We present the stationary points of such criterion, and show that these extrema are simplified as the minimum mean square error (MMSE) solutions with some approximations. Moreover,...
Most of the blind source separation (BSS) models assume that the independent sources are observed through some unknown mixing process in the absence of noise. However, the additive noise may be present in many practical applications. The bias caused by noise will limit the separation performance of the BSS algorithm. The existing modified algorithms based on quasi-whitening only can improve the signal-to-interference...
A novel RB-WC-FI-FB (robust worst-case frequency invariance forward-backward) wideband beam former is proposed in this paper. It is developed to improve the robustness against estimation errors of direction of arrival (DOA) and limited sample number, as well as reduce the number of constraints. By incorporating forward-backward estimation and worst-case performance optimization method into the linearly...
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