基于GA-PSO的低轨星座传感器资源优化调度方法  

Sensor Scheduling Method for LEO Constellation Based on GA-PSO

作　　者：李朝霞 吴洪[2] 王铁兵[3] 王博[2] 

机构地区：[1]空军装备部,北京100843 [2]空军装备研究院雷达与电子对抗研究所,北京100085 [3]国防科学技术大学电子科学与工程学院,湖南长沙410073

出　　处：《上海航天》2012年第4期22-26,共5页Aerospace Shanghai

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.

关 键 词：传感器调度 优化 多目标跟踪 低轨星座 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]