摘要
区域通信星座的研究具有重要的现实意义,给出一种利用遗传算法设计中轨区域通信星座的方法。首先分析、确定中轨通信星座优化涉及的轨道控制参数,然后讨论了星座覆盖性能的评价准则,对星座系统的轨道控制参数集进行二进制编码后,利用遗传算法来获得对服务区具有最佳覆盖性能的星座类型。为了验证该方法的有效性,选择我国本土的一块区域,以最大覆盖率为目标进行仿真,结果表明该方法可以在给定条件下获得性能良好的星座方案。
Study of regional communication satellite constellation is of great use. A MEO constellation for regional communication based on genetic algorithm is proposed. First the orbit control parameters for MEO communication constellation are analyzed and determined; then the evaluation criterions for constellation coverage are discussed; after coding the constellation orbit control parameter set into binary cluster, the genetic algorithm can be applied to achieve the constellation with best coverage to service region. To validate this method, an experiment specified with an area in China and with the criterion of max-proportion of coverage is practiced; the result of this experiment indicates the proposed method can obtain the constellation with perfect performance with given condition.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2005年第6期1366-1369,共4页
Journal of System Simulation
基金
国家自然科学基金(60472051)
关键词
卫星星座
通信
优化
遗传算法
satellite constellation
communication
optimization
genetic algorithm
