Research On Algorithm Of Seabed Earthquake Wave In Ship Target Recognition

In this paper,the seabed seismic wave signals generated by ships navigating in the shallow sea are taken as the research object and applied to the ship identification.The Scholte waves propagating along the liquid-solid interface in the signal are identified according to the Scholte wave properties,so as to detect the target.Then the wavelet of the seabed seismic signal is extracted from the target signal by multichannel statistics.And the difference in value identifies the target vessel category.This method can not only accurately identify the ship target,but also avoids the traditional sonar system can only collect acoustic signals in seawater and marine hydrological conditions require higher shortcomings.In order to obtain accurate arrival time and frequency of Scholte waves in seabed seismic wave signals,the paper compares STFT,wavelet transform,S transform,Wigner distribution,Pseudo Wigner distribution and smoothing pseudo-Wagner distribution on the time-frequency characteristics of seabed seismic wave signals about their analysis results,advantages and disadvantages.In order to preserve the high resolution of the Wigner distribution and suppress the crossover effectively,the Wigner distribution and the matching pursuit algorithm are combined in this paper,and the composite seismic wave signal of the ship is processed to obtain the ideal time-frequency spectrum.Combined with the Scholte wave propagation along the liquid-solid interface and slow,low frequency and the polarization of the horizontal and vertical components is an inverse ellipse,so the existence of the target is determined.According to the formation principle of seismic wave,the multi-channel statistical method is used to extract the wavelet of the real seafloor seismic signal,the frequency of the wavelet is obtained,and the target vessel type is identified by difference of the frequency value.