【Title】Application of wavelet scale correlation filtering and its improved algorithm in signal processing with a spark sound source

【Author】WEN Hongtao;YANG Yanming;LIU Zhenwen;NIU Fuqiang;Third Institute of Oceanography,SOA;

【Abstract】 It is seriously interfered by ship noise when analyzing and extracting broadband spark sound source signal.In the energy concentrated domain which is below 5 kHz,the traditional scale correlation filtering algorithm,which is based on adjacent-scale correlation,has limited anti-interference ability due to the low signal-to-noise ratio(SNR) and similar Lipschitz exponent characteristic of each other.However,because different frequency bands of the broadband electric spark signal have different noise interferences,the filtering algorithm based on adjacent-scale correlation is adapted to high SNR and small-scale high-frequency wavelet coefficients filtering;the filtering algorithm based on cross-scale correlation is adapted to low SNR and large-scale low-frequency wavelet coefficients filtering,and the threshold coefficient selection method had been corrected in the algorithm.It is shown that the filtering algorithm has a good filtering effect and extracts the broadband spark sound source signal effectively;it is applicable to broadband underwater acoustic signal processing in the presence of narrow-band strong interference background noise.