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http://dx.doi.org/10.7776/ASK.2020.39.6.541

Optimal depth for dipping sonar system using optimization algorithm  

An, Sangkyum (Incheon Naval Sector Defence Command, Republic of Korea Navy)
Publication Information
The Journal of the Acoustical Society of Korea / v.39, no.6, 2020 , pp. 541-548 More about this Journal
Abstract
To overcome the disadvantage of hull mounted sonar, many countries operate dipping sonar system for helicopter. Although limited in performance, this system has the advantage of ensuring the survivability of the surface ship and improving the detection performance by adjusting the depth according to the ocean environment. In this paper, a method to calculate the optimal depth of the dipping sonar for helicopters is proposed by applying an optimization algorithm. In addition, in order to evaluate the performance of the sonar, the Sonar Performance Function (SPF) is defined to consider the ocean environment, the depth of the target and the depth of the dipping sonar. In order to reduce the calculation time, the optimal depth is calculated by applying Simulated Annealing (SA), one of the optimization algorithms. For the verification of accuracy, the optimal depth calculated by applying the optimization technique is compared with the calculation of the SPF. This paper also provides the results of calculation of optimal depth for ocean environment in the East sea.
Keywords
Dipping sonar; Optimal depth; Probability of detection; Sonar performance function;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 C. M. Ferla and M. B. Poter, "Receiver depth selection for passive sonar systems," IEEE J. Ocean Eng. 16, 267-278 (1991).   DOI
2 D. A. Gershfeld and F. Ingenito, "Optimum depth of propagation in shallow water (No. NRL-8741)," Naval research lab Rep., 1983.
3 M. C. Domingo, "Optimal placement of wireless nodes in underwater wireless sensor networks with shadow zones," IEEE. 2nd IFIP Wireless Days (WD), 1-6 (2009).
4 R. J. Urick, Principles of Underwater Sound (McGraw-Hill, New York, 1967), pp. 16-28.
5 D. C. Kim, S. J. Kim, Y. K. Seo, J. H, Jeong, Y. E. Kim, and K. Y, Kim, "Physical properties of Southeastern Yellow Sea Mud (SEYSM): Comparison with the East Sea and the South Sea mudbelts of Korea" (in Korean), J. Ocean. Soc. Kor. 5, 335-345 (2000).
6 M. B. Poter, The BELLHOP Manual and User's Guide: Preliminary Draft, http://oalib.hlsresearch.com/Rays/HLS-2010-1.pdf, (Last viewed November 24, 2020).
7 E. Arts and J. Korst, Simulated Annealing and Boltzmann Machines (Wiley, New Jersey, 1989), pp. 170-171.
8 M. D. Collins, W. A. Kuperman, and H. Schmidt, "Nonlinear inversion for ocean-bottom properties," J. Acoust. Soc. Am. 92, 2770-2783(1992).   DOI
9 C. E. Lindsay and N. R. Chapman, "Matched field inversion for geoacoustic model parameters using adaptive simulated annealing," IEEE J. Ocean Eng. 18, 224-231(1993).   DOI
10 NOAA, World Ocean Database 2013, https://www.nodc.noaa.gov/OC5/WOD13/, (Last viewed November 24, 2020).
11 Global 30 Arc-Second Elevation, U. S. Geological Survey's Earth Resources Observation and Science (EROS) Center, https://www.usgs.gov/centers/eros/data-tools, (Last viewed November 24, 2020).
12 C. S. Park, H. S, Seol, G. D. Kim, and Y. H. Park, "A study on hydrophone array design optimization for cavitation tunnel noise measurements" (in Korean), J. Acoust. Soc. Kor. 32, 237-246 (2013).   DOI