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2014 | OriginalPaper | Chapter

Wavelet Frequency Domain Adaptive Multi-Modulus Blind Equalization Algorithm Based on Fractional Lower Order Statistics

Authors : Jun Guo, Xiu-zai Zhang, Ye-cai Guo

Published in: Fuzzy Information & Engineering and Operations Research & Management

Publisher: Springer Berlin Heidelberg

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Abstract

A wavelet frequency domain adaptive \(\beta \) multi-modulus blind equalization algorithm based on Fractional lower order statistics (FLOS \(\beta \) FWTMMA) is proposed in the \(\alpha \)-stable distribution noise environment. This proposed algorithm uses Fractional lower order statistics to restrain \(\alpha \)-stable distribution noise, the equalizer output signal energy is optimized adaptively to obtain a joint blind equalization algorithm, its computational loads can be greatly reduced by using Fast Fourier Transform (FFT) and overlapping retention law. In the proposed algorithm, orthogonal wavelet transform is used to improve the convergence rate. The underwater acoustic channel simulation results show that the proposed algorithm has better performance.

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previous chapter Consistency Adjustment Algorithm of the Reciprocal Judgment Matrix
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Metadata
Title
Wavelet Frequency Domain Adaptive Multi-Modulus Blind Equalization Algorithm Based on Fractional Lower Order Statistics
Authors
Jun Guo
Xiu-zai Zhang
Ye-cai Guo
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Fuzzy Information & Engineering and Operations Research & Management

Print ISBN: 978-3-642-38666-4

Electronic ISBN: 978-3-642-38667-1

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-642-38667-1_39

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