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Abstract

The space-based infrared LEO constellation has the ability of surveillance and tracking of ballistic missiles during entire phases, which has played an important role in the ballistic missile defense system (BMDS). This paper focuses on the scheduling strategy for the LEO constellation to multiple targets. The concept of average contribution of the satellite is firstly introduced, transforming the dynamic scheduling process to continuous intervals. The switching frequency and relaxation degree are also considered as decision variables. Then the multilayer coding genetic algorithm is improved in order to solve the scheduling problem. Finally, a scheduling demonstration validates the correctness and effectiveness of the presented method. The theory analysis and simulation results of this paper can provide powerful support for future design of the LEO constellation and research on the BMDS.

Keywords

LEO constellation multi-target tracking scheduling strategy decision variable optimization algorithm

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