Offset Parameter Optimization Method of Large-Scale Satellite Constellations Cooperative Observations on Area Targets

It is necessary to segmenting area targets for large-scale satellite constellations cooperative observations on area targets while the differences of offset parameters affect observing efficiency. Optimizing the offset parameters can improve the efficiency of cooperative observation. However, it is difficult to explicitly express the relationship between the offset parameters and coverage. It is very time-consuming to optimize the offset parameters by iterative preprocessing and scheduling. The use of surrogate models can reduce computational costs, and improve the performance of optimization. Kriging method has good statistical properties of the overall situation, as the surrogate model for the global approximation. RBF network has the adaptive structure and characteristics of output being independent of the initial weights, as the surrogate model for local search. Simulation results show that surrogate model has good optimization results when used on optimizing the offset parameters of large-scale satellite constellations cooperative observations for area targets.