Abstract
Aiming at the defects of time varying and multipath fading in underwater acoustic channel, support vector machines optimization based wavelet transform liner equalizer and decision directed combined blind equalization algorithm is proposed under the standard of statistical properties. The proposed algorithm improves the convergence speed through normalized orthogonal wavelet transform, and makes the weight vectors converge to global optimal points by using support vector machines. In order to correct signals’ phase rotation and reduce steady-state error, the proposed algorithm integrate the advantages of decision directed algorithm and soft decision. Experiment simulations in underwater acoustic channel indicate that the proposed algorithm has ability to improve the convergence rate and to reduce the mean square error, especially to compensate phase rotation.
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Guo, Y., Xu, W., Ji, T., Guo, J. (2012). Support Vector Machines Optimization Based Wavelet Transform Liner Equalizer and Decision Directed Combined Blind Equalization Algorithm. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_125
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DOI: https://doi.org/10.1007/978-3-642-27552-4_125
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27551-7
Online ISBN: 978-3-642-27552-4
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