Underwater Target Detection Based on Machine Learning

Abstract

Underwater target detection is an important part of acoustic signal processing. It is mainly composed of bad channel detection, beamforming, classification, tracking and localization. In this paper, the possibility of realizing bad channel detection, classification, tracking and localization based on Machine Learning or Deep Learning was explored. And they were all implemented separately and successfully using Machine Learning or Deep Learning.