Optimal Operating Depth Search for Active Towed Array Sonar using Simulated Annealing

Sangkyum An; Keunhwa Lee; Woojae Seong

doi:10.14429/dsj.69.13693

Sangkyum An Seoul National University, Seoul, 08826
Keunhwa Lee Sejong University, Seoul, 05006
Woojae Seong Seoul National University, Seoul, 08826

DOI: https://doi.org/10.14429/dsj.69.13693

Keywords: Optimal depth, Active towed array sonar, Probability of detection, Simulated annealing, Sonar performance function

Abstract

In an active towed array sonar, it is important to find the optimal operation depth. Generally, the optimal depth can be chosen via numerical simulations for all sonar depths and this imposes great burdens of time and cost.
In this paper, an efficient approach is proposed to find the optimal depth using the optimisation technique. First, the sonar performance function is newly defined as a measure of how well the active sonar might perform. This function depends on the properties of the ocean environment and the positions of sonar and underwater target. Then, the simulated annealing to find an optimal solution for maximising sonar performance is used. The optimised depth agrees well with the depth obtained from direct searching for all depths of source and receiver combinations, but its computational time is largely reduced.

Author Biographies

Sangkyum An, Seoul National University, Seoul, 08826

Dr Sangkyum An received his BS in Electrical Engineering from Naval Academy, Changwon, Korea in 2006. And he received his MS and PhD in Naval architecture and Ocean Engineering from Seoul National University, Seoul, Korea in 2011 and 2019, respectively. Currently, he is serving as lieutenant commander in ROK Navy. His current research area: underwater signal processing and underwater experimental technique.

Keunhwa Lee, Sejong University, Seoul, 05006

Dr Keunhwa Lee received his BS and PhD in Naval architecture and Ocean Engineering from Seoul National University, Seoul, Korea in 1996 and 2006, respectively. Currently, he is an associate professor at Sejong University, Seoul, Korea. His current research area: Acoustic modeling/data-driven modeling, Ocean ambient noise, sonar signal processing.

Woojae Seong, Seoul National University, Seoul, 08826

Dr Woojae Seong received the BS and MS in Naval architecture and Ocean Engineering from Seoul National University, Seoul, Korea in 1982 and 1984, respectively, and the PhD(Ocean Engineering) from Massachusetts Institute of Technology, Cambridge, United States in 1991. Currently, he is a Professor at Seoul National University. His current research area: sound propagation/reverberation modeling in underwater, ocean sediment acoustics, underwater signal processing, machine learning applications and localisation of cavitation noise.