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Underwater Transient Signal Detection Using Higher-order Statistics and Wavelet Analysis  

조환래 (한양대학교 지구해양과학과 해양음향연구실)
오선택 (한양대학교 지구해양과학과 해양음향연구실)
오택환 (한양대학교 지구해양과학과 해양음향연구실)
나정열 (한양대학교 지구해양과학과 해양음향연구실)
Publication Information
The Journal of the Acoustical Society of Korea / v.22, no.8, 2003 , pp. 670-679 More about this Journal
Abstract
This paper deals with application of wavelet transform, which is known to be good for time-frequency analysis, in order to detect the underwater transient signals embedded in ambient noise. A new detector of acoustic transient signals is presented. It combines two detection tools: wavelet analysis and higher-order statistics. Using both techniques, the detection of the transient signal is possible in low signal to noise ratio condition. The proposed algorithm uses the wavelet transform of a partition of the signal on frequency domain, and then higher-order statistics tests the Gaussian nature of the segments.
Keywords
Underwater transient signal; Kurtosis; Wavelet packet; Higher-order statistics;
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