摘要
针对低轨星座目标跟踪传感器资源调度,基于函数优化和组合优化理论,建立了传感器资源优化调度模型,并设计了基于遗传算法-粒子群优化(GA-PSO)的优化调度算法。仿真结果表明,与现有的构造优化调度算法相比,该算法的性能更优,但运算量有所增加。
To deal with the problem of sensor resources scheduling in the low earth orbit （LEO） constellation, a sensor resources scheduling model was established based on combinatorial-optimizing and functional-optimizing in this paper. A novel sensor scheduling algorithm based on genetic algorithm-particle swarm optimization （GA-PSO） was proposed. The simulation results showed that the performance of this method was better than the existing constructive optimizing method although the calculation was more complex.
出处
《上海航天》
2012年第4期22-26,共5页
Aerospace Shanghai
关键词
传感器调度
优化
多目标跟踪
低轨星座
Sensor scheduling
Optimization
Multi-target tracking
Low earth orbit constellation
