Journal of Jilin University Science Edition ›› 2020, Vol. 58 ›› Issue (3): 611-619.

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Hybrid Decomposition Algorithm for Remote Sensing Satellite Ground Station Resource Scheduling

LIU Jingyi1,2, TIAN Miaomiao1, HUANG Peng1, LIN Youming1, MA Guangbin1   

  1. 1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;2. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-03-06 Online:2020-05-26 Published:2020-05-20
  • Contact: TIAN Miaomiao E-mail:tianmm@radi.ac.cn

Abstract: Aiming at the problem that it was difficult for the traditional algorithms to meet the requirements of accuracy and timeliness of ground station resource scheduling, we proposed a hybrid decomposition algorithm which combined the heuristic algorithm based on conflict degree evaluation index of ground station resource usage and Lagrangean decomposition algorithm to solve the problem, so as to speed up the search of the optimal solution. The results of simulation tests show that the proposed algorithm can get high quality solutions to the resource scheduling problems of remote sensing satellite ground stations in a short time.

Key words:  remote sensing satellite, ground station, resource scheduling, decomposition algorithm, Lagrangean decomposition

CLC Number: 

  • TP391