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| An Orthogonal Wavelet Transform Blind Equalization Algorithm Based on the Optimization of Particle Swarm |
| Hu Ling-ling① Guo Ye-cai①② |
①(School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China)
②(College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China) |
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Abstract In order to overcome the slow convergence rate and big mean square error of Constant Modulus Algorithm (CMA), an orthogonal wavelet transform constant modulus blind equalization algorithm based on the optimization of particle swarm is proposed, on the basis of analyzing the futures of orthogonal Wavelet Transform Constant Modulus blind equalization Algorithm (WT-CMA) and particle swarm algorithm. In the proposed algorithm, the equalizer weight vector can be optimized via making full use of effective global search of particle swarm algorithm and the de-correlation ability of wavelet transform. Computer simulations in underwater acoustic channels indicate that the proposed algorithm outperforms the CMA, the constant modulus blind equalization algorithm based on the Particle Swarm Optimization (PSO-CMA) and WT-CMA in improving the convergence rate and reducing inter symbol interference.
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Received: 25 September 2010
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Corresponding Authors:
Guo Ye-cai
E-mail: guo-yecai@163.com
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2011, Vol. 33 
