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김선효,김우중,최지웅,윤영중,박정수,Kim, Sunhyo,Kim, Woojoong,Choi, Jee Woong,Yoon, Young Joong,Park, Joungsoo 한국군사과학기술학회 2015 한국군사과학기술학회지 Vol.18 No.5
The goal of this study is to develop an algorithm to propose optimal deployment of detection sensor nodes in the target area, based on a performance surface, which represents detection performance of active and passive acoustic sonar systems. The performance surface of the active detection system is calculated from the azimuthal average of maximum detection ranges, which is estimated with a transmission loss and a reverberation level predicted using ray-based theories. The performance surface of the passive system is calculated using the transmission loss model based on a parabolic equation. The optimization of deployment configurations is then performed by a hybrid method of a virtual force algorithm and a particle swarm optimization. Finally, the effectiveness of deployment configurations is analyzed and discussed with the simulation results obtained using the algorithm proposed in this paper.
음향 탐지 성능 분포도 기반에서 함정 최적탐색패턴에 관한 연구
천민기,김선효,최지웅,최철우,손수욱,박정수,Cheon, Minki,Kim, Sunhyo,Choi, Jee Woong,Choi, Cheolwoo,Son, Su-Uk,Park, Joungsoo 한국군사과학기술학회 2017 한국군사과학기술학회지 Vol.20 No.3
The goal of this study is simulation of optimal search pattern of ships based on performance surface which are reflected underwater environmental. The process is as follows. First, temporal and spatial environmental database are extracted in complex environment and input hull mounted SONAR system parameters. The environmental database and SONAR system parameters are substituted to SONAR equations, and calculate signal excess, detection probability, detection range. And then, the performance surface, which can be used to provide operational insight of SONAR detection performance, are pictorialized. Finally, optimal search pattern of ships are simulated using genetic algorithm based on performance surface. And then, we certify optimal search pattern in various ways.
권세웅(Sewoong Kwon),문현욱(Hyun Wook Moon),오재림(Jae Rim Oh),임재우(Jae-Woo Lim),배석희(Seok-Hee Bae),김영규(Young-Gyu Kim),박정수(Joungsoo Park),윤영중(Young Joong Yoon) 한국전자파학회 2009 한국전자파학회논문지 Vol.20 No.5
본 논문에서는 개선된 가시 트리 구조와 가시면 검색을 위해 효율적인 방법을 적용한 광선 추적법을 제안한다. 비슷한 특성을 갖는 트리의 노드를 재생성하지 않는 개선된 가시 트리 구조를 사용하였으며, 가시면 판별을 위해 묶음 광선(packet ray) 개념 검사점을 비균일하게 분포시키는 방법으로 경로 탐색 성능을 개선하였다. 충돌검사에서 묶음 광선를 사용함으로써 3.3배의 속도 개선을 이루었으며, 비균일 검사점 분포를 통해 1.11배의 성능향상을 이루었다. 본 광선추적법을 적용한 결과의 경우, 경로 손실에서 RMS 에러가 1.9 ㏈ 발생하여 높은 정확도를 제공할 수 있음을 보였다. In this paper, we proposed an improved ray tracing method with an amelioration of visible tree structure, a visible face determination method, and non-uniform random test point method. In a proposed visible tree structure, it reduces tree nodes by means of merging similar nodes. In a visible face determination method, it shows that a ray hit test with a packet ray method can reduce a test time. A ray tracing method involving with a packet ray hit test method can improve a tree construction time up to 3.3 times than a ray tracing method with a single ray hit test method. Furthermore, by seeding a non-uniform and random test point on a face, tree construction time is improved up to 1.11 times. Received powers from the proposed ray tracing results and measured results have good agreement with 1.9 ㏈ RMS error.