A Realization on Faster Convergence and Higher Reliability of The New Blond Deconvolution Algorithm Using The Minimum Entropy Method

Abstract

Blind deconvolution is a method of recovering transmitted signals from only received signals. The minimum entropy 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 block processing with finite recovered signals. 2) Kurtosis is estimated by recovered signals with each block. 3) Cost function is decided by kurtosis. 4) Transmitted signals are recovered by received signals using decided cost function during the block. We confirm validity of the new algorithm by computer simulation.