A Consideration on The New Blind Deconvolution Algorithm based on Probability Distribution Method

Abstract

Blind deconvolution is a method of recovering transmitted signals from only received signals. The probability distribution method is one of blind deconvolution methods. This method has two problems that has slower convergence, and that its reliability is lower. In this paper, we propose the new algorithm for solving two problems above. The proposed algorithm is as follows. 1)it is based on the adaptive processing with each sample. 2) Kurtosis is adaptively estimated by recovered signals with each sample. 3) Cost function is decided by kurtosis. 4) Transmitted signals are recovered by received signals using decided cost function on the sample time. We confirm validity of the new algorithm by computer simulation.