DocumentCode
2532535
Title
Detection of Underwater Acoustic Signal from Ship Noise Based on WPT Method
Author
Chen, Sheng ; Zhang, Honghua
Author_Institution
Sci. & Tech. on Underwater Acoust. Antagonizing Lab., ZhanJiang, China
fYear
2011
fDate
19-22 Oct. 2011
Firstpage
324
Lastpage
327
Abstract
When detecting underwater acoustic signals, the ship noise is often treated as stationary stochastic noise. The traditional methods such as Fast Fourier transform (FFT) methods are not quite effective for the problem. In this paper, wavelet package transform (WPT) method is presented to solve that. The fractal characteristics of ship radiated noise are discussed. Some simulation examples are given for testing the performance of the proposed algorithm and the results show using WPT with rigrsure threshold selection, the ship noise is deleted well. Compared with traditional FFT method, WPT method owns better effectiveness on detecting signals from ship noise.
Keywords
acoustic signal detection; fast Fourier transforms; wavelet transforms; WPT method; fast Fourier transform; fractal characteristic; rigrsure threshold selection; ship radiated noise; underwater acoustic signal detection; wavelet package transform; Fractals; Marine vehicles; Underwater acoustics; Wavelet transforms; White noise; de-noising; fractal noise; ship noise; wavelet package transform(WPT);
fLanguage
English
Publisher
ieee
Conference_Titel
Chaos-Fractals Theories and Applications (IWCFTA), 2011 Fourth International Workshop on
Conference_Location
Hangzhou
Print_ISBN
978-1-4577-1798-7
Type
conf
DOI
10.1109/IWCFTA.2011.27
Filename
6093547
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