Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (2): 393-401.doi: 10.21629/JSEE.2019.02.17

• Control Theory and Application • Previous Articles     Next Articles

Sensor management of LEO constellation based on covariance control

Zheng QIN(), Yan'gang LIANG*()   

  • Received:2018-01-19 Online:2019-04-01 Published:2019-04-28
  • Contact: Yan'gang LIANG E-mail:qinzheng911@126.com;liangyg@nudt.edu.cn
  • About author:QIN Zheng was born in 1992. He received his B.S. degree in aerospace science and technology from Harbin Institute of Technology, China, in 2014, and his M.S. degree from National University of Defense Technology, China, in the area of aerospace science and technology in 2016. He is currently a Ph.D. candidate in the College of Aerospace Science and Engineering, National University of Defense Technology. His research interests include multitarget tracking, sensor management and satellite constellation scheduling.E-mail:qinzheng911@126.com|LIANG Yan'gang was born in 1979. He received his Ph.D. degree in aerospace science and technology from National University of Defense Technology, China, in 2009. He is currently an associate professor in the College of Aerospace Science and Engineering, National University of Defense Technology. His research interests include aerospace system analysis and simulation, and effectiveness assessment.E-mail:liangyg@nudt.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(61690210);the National Natural Science Foundation of China(61690213);This work was supported by the National Natural Science Foundation of China (61690210; 61690213)

Abstract:

This paper studies the multi-sensor management problem for low earth orbit (LEO) infrared warning constellation used to track a midcourse missile. A covariance control approach, which selects sensor combinations or subset based on the difference between the desired covariance matrix and the actual covariance of each target, is used for sensor management, including some matrix metrics to measure the differentia between two covariance matrices. Besides, to meet the requirements of the space based warning system, the original covariance control approach is improved. Simulation results demonstrate that the covariance control approach is able to provide a better tracking performance by providing a well-designed desired covariance and balance tracking performance goals with system demands.

Key words: sensor management, covariance control, target tracking accuracy, LEO constellation