Fast convergence algorithms for joint blind equalization and source separation based upon the cross-correlation and constant modulus criterion
conference contributionposted on 12.01.2010 by Yuhui Luo, Jonathon Chambers
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
To 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
- Mechanical, Electrical and Manufacturing Engineering