Research Article
A New Approach on Satellite Mission Planning with Revisiting Requirements
@INPROCEEDINGS{10.1007/978-3-030-69072-4_17, author={Yuyan Liu and Yuqing Li and Pengpeng Liu and Xiaoen Feng and Feilong Jiang and Mingjia Lei}, title={A New Approach on Satellite Mission Planning with Revisiting Requirements}, proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II}, proceedings_a={WISATS PART 2}, year={2021}, month={2}, keywords={Satellite mission planning Revisiting requirements Population based incremental learning algorithm Genetic algorithm}, doi={10.1007/978-3-030-69072-4_17} }- Yuyan Liu
Yuqing Li
Pengpeng Liu
Xiaoen Feng
Feilong Jiang
Mingjia Lei
Year: 2021
A New Approach on Satellite Mission Planning with Revisiting Requirements
WISATS PART 2
Springer
DOI: 10.1007/978-3-030-69072-4_17
Abstract
With the development of space science and technology, the demand of observation mission increases. However, due to the limitations of the performance of platform or payloads and space environment of the remote sensing satellite, the observation ability is restricted, so it is necessary to carry out the mission planning. Aiming at the observation task of revisiting hot spots by remote sensing satellite, this paper firstly analyzes the practical constraints, and designs several functions about optimization targets. Secondly, the mathematical model was established. Thirdly, the algorithm to solve the problem was based on PBIL. Finally, to examine the performance of the algorithm, this paper creates simulation scenarios and test cases by means of STK, and obtains the initial simulation time window sequence. By comparing with the results of genetic algorithm, the effectiveness of the algorithm in solving the problem of multi-satellite revisit mission planning has been verified, which is better than the results of genetic algorithm.
