Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Blind Channel Equalization Using Constrained Generalized Pattern Search Optimization and Reinitialization Strategy | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 765462 11 pages doi 2008 765462 Research Article Blind Channel Equalization Using Constrained Generalized Pattern Search Optimization and Reinitialization Strategy Abdelouahib Zaouche 1 Iyad Dayoub 2 Jean Michel Rouvaen 2 and Charles Tatkeu1 1INRETS LEOST 20 rue Elisee Reclus 59650 Villeneuve d Ascq France 2IEMN DOAE University of Valenciennes and Hainaut-Cambresis Le MontHouy 59313 Valenciennes France Correspondence should be addressed to Abdelouahib Zaouche Received 5 November 2007 Revised 28 May 2008 Accepted 26 August 2008 Recommended by William Sandham We propose a global convergence baud-spaced blind equalization method in this paper. This method is based on the application of both generalized pattern optimization and channel surfing reinitialization. The potentially used unimodal cost function relies on higher- order statistics and its optimization is achieved using a pattern search algorithm. Since the convergence to the global minimum is not unconditionally warranted we make use of channel surfing reinitialization CSR strategy to find the right global minimum. The proposed algorithm is analyzed and simulation results using a severe frequency selective propagation channel are given. Detailed comparisons with constant modulus algorithm CMA are highlighted. The proposed algorithm performances are evaluated in terms of intersymbol interference normalized received signal constellations and root mean square error vector magnitude. In case of nonconstant modulus input signals our algorithm outperforms significantly CMA algorithm with full channel surfing reinitialization strategy. However comparable performances are obtained for constant modulus signals. Copyright 2008 Abdelouahib Zaouche et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use .
