입자 군집 최적화 알고리즘을 이용한 양상태 소나 최적 배치 연구

Abstract

양상태소나는해양환경, 송․ 수신기의위치(위도, 경도)와수심에따라탐지성능이크게변동한다. 따라서 해양환경을고려한양상태소나최적배치연구가필요하다. 본연구에서는동해울릉분지지역에서공간적으로분리 된수상함2척에서각각단상태소나와양상태소나를운용하는경우, 송․ 수신기의위치와수심을최적배치하는알고 리즘을제안한다. 탐색구역내탐지가가능한면적을최대화하는송․ 수신기의위치와수심을탐색하기위해입자군집 최적화알고리즘이사용되었다. 본연구에서제안하는알고리즘으로배치를수행한결과, 모델반복횟수의증가에따 라탐지면적이 증가하였으며 수상함 2척의 송․ 수신기가최적의위치와수심에 수렴하는 것이 확인되었다.

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.