上海航天2012，Vol.29Issue(4)：22-26,5.
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
李朝霞 1吴洪 2王铁兵 3王博2
作者信息
- 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
- 折叠
摘要
Abstract
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Key words
Sensor scheduling/Optimization/Multi-target tracking/Low earth orbit constellation分类
计算机与自动化引用本文复制引用
李朝霞,吴洪,王铁兵,王博..基于GA-PSO的低轨星座传感器资源优化调度方法[J].上海航天,2012,29(4):22-26,5.
