Automatic Detection Method of Underwater Acoustic Pulse Signal Based on Power Spectrum Entropy

Abstract

In the actual work of reconnaissance sonar, without any prior information, an adaptive threshold selection method based on power spectrum entropy is proposed in this paper in order to solve this problem that is poor adaptability of pulse signal detection method. By using the difference between the power spectrum entropy of pulse signal and background noise, the background noise change is to find out. And the detection threshold value is dynamically adjusted, so as to realize that the detection threshold automatically changes with the background change. In this paper, the detection threshold, detection probability and false alarm probability of this method are deduced theoretically under the background of Gaussian white noise. The steps of automatic threshold selection under non-Gaussian background are presented. Through simulation analysis and sea trial data verification, the adaptability and practicability of this method are proved.