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Proceedings of 2009 International Workshop on Information Security and Application (IWISA 2009)

Qingdao, China, November 21-22, 2009

Editors: Feng Gao and Xijun Zhu

AP Catalog Number: AP-PROC-CS-09CN004

ISBN: 978-952-5726-06-0

Page(s): 22-25

Fractionally Spaced Mixed Blind Equalization Algorithm Based on Orthogonal Wavelet Transform

Fu-dong Guo, Ye-cai Guo, and Xue-jie Ding

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Aiming at huge computation of super-exponential iteration (SEI) algorithm, meanwhile the severe inter-symbol interference (ISI) caused by multi-path fading, in the fractionally spaced blind equalization algorithm which based on super-exponential iteration algorithm, fractionally spaced mixed blind equalization algorithm which based on orthogonal wavelet transform (FWSW) is proposed. The proposed algorithm uses the fast convergence speed characteristic of SEI algorithm to revise the iteration equation of feedforward weight vectors for decision feedback structure blind equalizer, uses the de-correlation ability of wavelet transform to improve the convergence rate, and the computation complexity can be reduced by rarefing the feedforward weight vectors, then uses the phase-locked loop (PLL) to correct phase rotation. The simulation results show that the proposed algorithm has fast convergence rate, low ISI and computational complexity, and can correct the channel-introduced carrier phase rotation.

Index Terms

blind equalization, orthogonal wavelet transform, fractionally spaced, decision feedback

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