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
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);
Conference_Titel :
Chaos-Fractals Theories and Applications (IWCFTA), 2011 Fourth International Workshop on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1798-7
DOI :
10.1109/IWCFTA.2011.27
