An Orthogonal Wavelet Transform Blind Equalization Algorithm Based on the Optimization of Particle Swarm

Hu  Ling-Ling; Guo  Ye-Cai

doi:10.3724/SP.J.1146.2010.01043

Volume 33 Issue 5

Jun. 2011

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Hu Ling-Ling, Guo Ye-Cai. An Orthogonal Wavelet Transform Blind Equalization Algorithm Based on the Optimization of Particle Swarm[J]. Journal of Electronics & Information Technology, 2011, 33(5): 1253-1256. doi: 10.3724/SP.J.1146.2010.01043

Citation:

Hu Ling-Ling, Guo Ye-Cai. An Orthogonal Wavelet Transform Blind Equalization Algorithm Based on the Optimization of Particle Swarm[J]. Journal of Electronics & Information Technology, 2011, 33(5): 1253-1256. doi: 10.3724/SP.J.1146.2010.01043

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An Orthogonal Wavelet Transform Blind Equalization Algorithm Based on the Optimization of Particle Swarm

doi: 10.3724/SP.J.1146.2010.01043

Hu Ling-Ling¹,
Guo Ye-Cai^1
,

Received Date: 2010-09-25
Rev Recd Date: 2011-03-09
Publish Date: 2011-05-19

Abstract

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.
- Underwater acoustic communication,
- Particle Swarm Optimization (PSO),
- Information sharing,
- Orthogonal wavelet transform,
- Blind equalization

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References(1)

References

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