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2010 Asia-Pacific Conference on Information Theory (APCIT 2010 E-BOOK)

Xi'an,China,10.1-10.2,2010

ISBN: 978-1-935068-47-1 Scientific Research Publishing, USA

E-Book 506pp Pub. Date: November 2010

Category: Computer Science & Communications

Price: $80

Title: Ant Colony Optimization Algorithm Based Orthogonal Wavelet Blind Equalization Algorithm
Source: 2010 Asia-Pacific Conference on Information Theory (APCIT 2010 E-BOOK) (pp 78-82)
Author(s): Yecai Guo, School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China
Peipei Chen, School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China
Abstract: According to the defects of low convergence rate, big steady-state mean square error and local convergence of traditional constant modulus blind equalization algorithm (CMA), an orthogonal wavelet transform blind equalization algorithm based on the ant colony optimization algorithm (ACO-WT-FSE) is proposed. The proposed algorithm integrates ant colony optimization algorithm with wavelet transform con- stant modulus blind equalization algorithm (WT-CMA) to initialize its weight vector. The performance of the proposed algorithm can be improved via full using the global search and positive feedback mechanism of ant colony algorithm and the de-correlation ability of orthogonal wavelet transform. Computer simulations in underwater acoustic channels indicate that the proposed algorithm outperforms WT-CMA in improving con- vergence rate and reducing mean square error.
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