Research On The Extraction Algorithm Of Direct Wave And Surface Wave In Underwater

In this paper,the extraction algorithm based on the marine seismic wave signal is studied.Studied the propagation characteristics of seismic waves in the sea floor.Identify and extract the seismic wave from the first to the wave and Scholte surface wave And it is applied to ship target detection and localization in shallow sea.Design of software and hardware signal acquisition system of ship seismic wave,simulate shallow sea environment,the original signal of ship seismic wave.The zero drift of seismic wave signal is eliminated by the removal trend.The wavelet filter is used to filter the original seismic wave signal and the original signal is pre processed.Then the energy ratio method and the box counting fractal dimension algorithm are used to extract and compare the advantages and disadvantages of the two algorithms.The smoothed pseudo Wegener modified time-frequency distribution algorithm and adaptive Ricker wavelet matching pursuit algorithm of Scholte surface wave extraction and comparing the advantages and disadvantages of the two algorithms based on both can suppress the cross signal well produced on Scholte surface wave extraction are ideal.The arrival time and the time difference between the first and the Scholte surface waves are obtained.The horizontal distance of the seismic wave sensor is calculated by using the method of time delay and the time difference between the measured initial and surface waves.The pitch angle of the vector hydrophone on direct wave arrival time detection to obtain the vibration target,namely to ship water do accurate positioning in the range and azimuth detection method using composite seismic sensor and vector hydrophone.So it is proved that the extraction technique of underwater seismic wave signal can be applied to the location of shallow sea vibration targets.