CAJ | 학술논문

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。
침대저궤성좌목표근종전감기자원조도,기우함수우화화조합우화이론,건립료전감기자원우화조도모형,병설계료기우유전산법-입자군우화（GA-PSO）적우화조도산법。방진결과표명,여현유적구조우화조도산법상비,해산법적성능경우,단운산량유소증가。
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.