Detection of Underwater Acoustic Signal from Ship Noise Based on WPT Method
Chaos-Fractals Theories and Applications（2011）
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.
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Key words
underwater acoustic signal detection,wavelet package transform(wpt),ship noise,wavelet transforms,fractal noise,traditional fft method,better effectiveness,wpt method,fast fourier transform,ship radiated noise,underwater acoustic signal,traditional method,acoustic signal detection,fast fourier,proposed algorithm,wavelet package transform,de-noising,fractal characteristic,fast fourier transforms,stationary stochastic noise,rigrsure threshold selection,wavelet transform,fractals,underwater acoustics,white noise
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