High Resolution Radar Model to Simulate Detection/Tracking Performance of Multi-Function Radar in War Game Simulator

통합 교전 시뮬레이터 환경에서 다기능 레이다 탐지/추적 성능 모의를 위한 고해상도 레이다 모델

  • Rim, Jae-Won (Department of Electronic Engineering, Inha University) ;
  • Oh, Suhyun (Department of Electronic Engineering, Inha University) ;
  • Koh, Il-Suek (Department of Electronic Engineering, Inha University)
  • 임재원 (인하대학교 전자공학과) ;
  • 오수현 (인하대학교 전자공학과) ;
  • 고일석 (인하대학교 전자공학과)
  • Received : 2018.11.19
  • Accepted : 2018.12.20
  • Published : 2019.01.31


In this paper, modeling of a high-resolution multi-function radar is proposed to simulate radar performance in a war game simulator, called AddSIM. To incorporate the multi-function radar model into the AddSIM, the modeling must comprise a component-based structure consisting of physics, logics, and information blocks. Therefore, we assign the RF hardware of a RADAR as the physic block, a controller as the logics block, and the RF specifications of the RADAR as the information block. Detailed modeling of the physics and logics blocks are addressed, and data structure is also presented on an engineering level. On a multi-target engaged scenario, the performance of the multi-function radar is numerically analyzed and its validation is examined.


Multi-Function Radar;AddSIM;Synthetic War Game Simulator;High Resolution Radar Model

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그림 1. 간략한 AddSIM의 동작 개념 Fig. 1. Simplified operation concept of AddSIM.

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그림 2. 다중표적 교전환경에서 다기능 레이다 운용 Fig. 2. Operation of multi-function radar on multi-target en-gagement configuration.

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그림 3. 공학급 다기능 레이다의 물리부 및 논리부 블록도 Fig. 3. Physics and logics component blocks of multi-func-tion radar model in engineering level.

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그림 4. 시간 인자 기반 탐색/확인/추적 임무선택 흐름도 Fig. 4. Flow chart for search, confirm, track task selection based on time balance.

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그림 5. 물리부/논리부 상호연동 임무 데이터 구조 Fig. 5. Task data structure used for inter-operation of phy-sics and logics blocks.

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그림 6. AddSIM 커널, 공중 위협체, 다기능 레이다의 상호 연동 체계 Fig. 6. Inter-operation among AddSIM kernel, air threat, and multi-function radar.

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그림 7. 공중 위협체의 2D 편광 RCS Fig. 7. 2D polarimetric RCS DB of air threat.

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그림 8. 3D 전역 좌표계 영역에서 분할된 레이다 탐색 (R1, R2, R3) 빔 Fig. 8. Segmented radar search (R1, R2, and R3) beams in 3D global coordinate system.

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그림 9. 공중 위협체 및 추적 히스토리의 3D 궤적 Fig. 9. 3D trajectories of air threats and radar estimate history.

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그림 10. 전력 히스토리 및 시간인자 Fig. 10. Power history and time balance.

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그림 11. 교전 시나리오에서 표적 수 증가에 따른 시뮬레이션 시간 비 Fig. 11. Simulation time ratio with respect to number of targets on engagement scenario.

표 1. 레이다 시뮬레이션 파라미터 Table 1. Radar simulation parameters.

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표 2. 레이다 탐색 임무 파라미터 Table 2. Radar search task parameters.

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표 3. 공중 위협체 시뮬레이션 파라미터 Table 3. Air threat simulation parameters.

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표 4. 레이다 임무 자원할당률 비교 Table 4. Comparison for occupancy of radar tasks.

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Grant : 무기체계 컴포넌트 모델 라이브러리 연구

Supported by : 국방과학연구소


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