Blind Equalization Algorithm Based on Adaptive Genetic Algorithm and Wavelet Transform

Abstract:

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Constant Modulus Algorithm(CMA) has slow convergence speed and easily immerges in local minimum owing to lack of initialization theory. Aiming at these disadvantages, adaptive genetic parameters are introduced into constant modulus blind equalization algorithm based on Genetic Algorithm and Wavelet Transform(GAWT-CMA), and Constant Modulus blind equali- zation Algorithm based on Adaptive Genetic Algorithm and Wavelet Transform(AGAWT-CMA) was proposed. The proposed algorithm processes genetic parameters adaptively, which can not only save the excellence individual with large probability but also avoid stagnancy during the evolution process. So it is propitious to search the whole optimum solution in overall range. The performance of the proposed algorithm was verified by computer simulation with underwater acoustic channels.

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Periodical:

Edited by:

Ran Chen

Pages:

3215-3219

DOI:

10.4028/www.scientific.net/AMM.44-47.3215

Citation:

Y. C. Guo and K. Fan, "Blind Equalization Algorithm Based on Adaptive Genetic Algorithm and Wavelet Transform", Applied Mechanics and Materials, Vols. 44-47, pp. 3215-3219, 2011

Online since:

December 2010

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$35.00

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