Underwater Acoustic Research Trends with Machine Learning: Passive SONAR Applications
Haesang Yang, Keunhwa Lee, Youngmin Choo, Kookhyun Kim
Abstract
Underwater acoustics is a scientific domain that involves the study of the phenomena of sound waves in water, including their generation, propagation, and reception. Specifically, the sound navigation and ranging (SONAR) system is utilized to investigate underwater communication and target detection and to study marine resources and the environment; further, it is utilized to measure and analyze sound sources in water. The main objective of underwater acoustics-based remote sensing is the indirect acquisition of information on underwater targets of interest using acoustic data. At present, highly advanced data-driven machine-learning techniques are being applied in various ways for extracting information from acoustic data. The techniques closely related to these applications are introduced in the first part of this paper This paper presents a detailed review of the applications of machine learning in underwater acoustics and passive SONAR signal processing.