Blind Equalization Based on Weighted Fusion of Multi-Mode Algorithm

doi:10.13190/jbupt.200905.41.zhaoxq

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2009, Vol. 32 ›› Issue (5): 41-46.doi: 10.13190/jbupt.200905.41.zhaoxq

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Blind Equalization Based on Weighted Fusion of Multi-Mode Algorithm

ZHAO Xiao-qun,YAO Yu-hong,XU Xi-tao

(College of Electronic and Information, Tongji University, Shanghai 201804, China)

Received:2009-03-11 Revised:2009-08-29 Online:2009-10-28 Published:2009-10-28

Abstract

Abstract:

On the study of several commonly used algorithms, a new weighted fusion of multi-mode blind algorithm is proposed: when the output signal of the equalizer is reliable, MMA-assisted modulus algorithm (MAMA) is used, otherwise modified constant modulus algorithm (MCMA), multimodulus algorithm (MMA) and MAMA are weighted and merged together. On the other hand, by controlling the weight of each algorithm and making it in direct proportion to the iteration number, the performance is evidently improves. Simulation proves that the new algorithm is stable, and could reach inter symbol interference (ISI) of -35?dB after about 2?800 iterations in the underwater environment.

Key words: modified constant modulus algorithm, multi-modulus algorithm, MMA-assisted modulus algorithm, weighted fusion algorithm

ZHAO Xiao-qun,YAO Yu-hong,XU Xi-tao. Blind Equalization Based on Weighted Fusion of Multi-Mode Algorithm[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2009, 32(5): 41-46.

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Blind Equalization Based on Weighted Fusion of Multi-Mode Algorithm

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