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2024 Vol.43, Issue 4 Preview Page

Research Article

Optimal deployment of bistatic sonar using particle swarm optimization algorithm

입자 군집 최적화 알고리즘을 이용한 양상태 소나 최적 배치 연구

Ji Seop Kim1
,
Dae Hyeok Lee1
,
Wonjun Yang1
,
Young Seung Kim1
,
Jee Woong Choi234*
,
Hyuckjong Kwon5
,
Jungyong Park6
,
Su-Uk Son6
,
Ho Seuk Bae6
,
Joung-Soo Park6
김 지섭1
,
이 대혁1
,
양 원준1
,
김 영승1
,
최 지웅234*
,
권 혁종5
,
박 중용6
,
손 수욱6
,
배 호석6
,
박 정수6
1한양대학교 해양융합과학과
2한양대학교 ERICA 해양융합공학과
3한양대학교 ERICA 국방정보공학과
4한양대학교 ERICA 지능정보융합공학과
5국방기술진흥연구소
6국방과학연구소
*Corresponding Author
31 July 2024. pp. 437-444
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Abstract

Bistatic sonar performance varies significantly depending on the ocean environment, the location (latitude, longitude) and water depth of the source and receiver. Therefore, research on optimal deployment of bistatic sonar considering ocean environment is necessary. In this study, we suggest an algorithm to optimize the location and water depth of source and receiver when operating monostatic and bistatic sonar on two spatially separated surface ships in the Ulleung Basin in the East Sea. A particle swarm optimization algorithm was used to search the location and water depth of the source and receiver to maximize the detectable area within the search area. As a result of performing bistatic sonar deployment using the algorithm proposed in this study, the detectable area increased as the number of model iterations increased. Additionally, it was confirmed that the source and receiver on the two surface ships converged to the optimal location and water depth.

Keywords
Bistatic sonar
Optimal deployment
Sonar performance analysis model
Particle Swarm Optimization (PSO)

양상태 소나는 해양환경, 송․수신기의 위치(위도, 경도)와 수심에 따라 탐지성능이 크게 변동한다. 따라서 해양환경을 고려한 양상태 소나 최적 배치 연구가 필요하다. 본 연구에서는 동해 울릉분지 지역에서 공간적으로 분리된 수상함 2척에서 각각 단상태 소나와 양상태 소나를 운용하는 경우, 송․수신기의 위치와 수심을 최적 배치하는 알고리즘을 제안한다. 탐색구역 내 탐지가 가능한 면적을 최대화하는 송․수신기의 위치와 수심을 탐색하기 위해 입자 군집 최적화 알고리즘이 사용되었다. 본 연구에서 제안하는 알고리즘으로 배치를 수행한 결과, 모델 반복 횟수의 증가에 따라 탐지면적이 증가하였으며 수상함 2척의 송․수신기가 최적의 위치와 수심에 수렴하는 것이 확인되었다.

키워드
양상태 소나
최적 배치
소나성능분석모델
입자 군집 최적화
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Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 43
  • No :4
  • Pages :437-444
  • Received Date : 2024-03-27
  • Revised Date : 2024-04-19
  • Accepted Date : 2024-05-11
  • DOI :https://doi.org/10.7776/ASK.2024.43.4.437
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