A class of new criteria for blind deconvolution

Abstract

Complex signal and system models are considered in this paper, and a class of new criteria, which is based on the higher-order cumulant, is derived for blind deconvolution. It is pointed out that blind deconvolution may be realized by maximizing or minimizing the normalized cumulant of the system output. This is a new approach to statistical matching for blind deconvolution. As an example, a new blind deconvolution (equalization) algorithm is proposed, and computer simulation results are included to demonstrate the performance of the proposed algorithm.