fast convergence alorithms for joint blind equalization....pdf (307.37 kB)
Download fileFast convergence algorithms for joint blind equalization and source separation based upon the cross-correlation and constant modulus criterion
conference contribution
posted on 2010-01-12, 16:23 authored by Yuhui Luo, Jonathon ChambersTo solve the problem of joint blind equalization and source separation, two new quasi-Newton adaptive algorithms with rapid convergence property are proposed, based on the cross-correlation and constant modulus (CC-CM) criterion, namely the block-Shanno cross-correlation and constant modulus algorithm (BS-CCCMA) and the fast quasi-Newton crosscorrelation and constant modulus algorithm (FQN-CCCMA). Simulations studies are used to show that the convergence properties of these algorithms are much improved upon those of the conventional LMS-CCCMA algorithm
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