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학술대회
다중 위성 추적 안테나의 위성 추적 최적 스케쥴링
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- 발행일
- 200711
- 출처
- 한국항공우주학회 학술 발표회 (추계) 2007, pp.1693-1696
- 협약과제
- 07MR2400, 위성항법지상국시스템 및 탐색구조단말기 기술개발, 이상욱
- 초록
- To construct the accurate radio satellite navigation system, the efficient communication each satellite with the ground station is very important. Throughout the communication, the orbit of each satellite can be corrected, and those information will be used to analyze the satellite satus by the operator. Since there are limited resources of ground station, the schedule of antenna's azimuth and elevation angle should be optimized. On the other hand, the satellite in the medium earth orbit does not pass the same point of the earth surface due to the rotation of the earth. Therefore, the antenna pass schedule must be updated at the proper moment. In this study, Q learning approach which is a form of model-free reinforcement learning and genetic algorithm are considered to find the optimal antenna schedule. To verify the optimality of the solution, numerical simulations are conducted.
- KSP 제안 키워드
- Genetic Algorithm, Ground Station, Learning approach, Limited resources, Medium earth orbit(MEO), Model-free, Numerical simulations, Pass schedule, Reinforcement Learning(RL), Satellite navigation system, efficient communication