A solution to blind separation of convolutive communication mixtures in frequency domain
In this paper, an efficient algorithm to deal with convolutive blind source separation of communication signals in frequency domain is presented. The classical JADE algorithm is adopted to perform linear complex-valued ICA in each frequency bin. To solve the permutation ambiguity problem, a new permutation technique based on high-order statistics is proposed. Then, a post processing procedure called CMA is added to compensate for signal distortion. Simulations are included to demonstrate the effectiveness of the proposed algorithms.