利用遗传算法实现导航星座局部优化设计  

Optimization of Navigation Constellation Based on Genetic Algorithm

作　　者：张毅 杜兰[2] 龙波[1] 张林俊 

机构地区：[1]96219部队 [2]信息工程大学导航与空天目标工程学院

出　　处：《导航定位学报》2013年第1期34-39,共6页Journal of Navigation and Positioning

基　　金：国家自然科学基金(41174025;41174026)

摘　　要：以异构区域导航星座(5GEO+5IGSO+4MEO)轨道参数为基础,以部分轨道参数为控制变量,建立以服务区域的网格采样点的加权PDOP值为目标函数,利用遗传算法对星座中对星座轨道参数进行了优化。利用优化结果计算了服务区域星座周期(7个恒星日)内的覆盖重数、PDOP值、覆盖连续性。为优先保证重点服务区域的星座性能,对目标函数进行了改进。改进的优化结果表明,原始星座在重点区域的高精度定位仍有一定的提高空间。Optimized method is researched by genetic algorithm,which consists of control variable and target variable.Parts of orbital parameters are taken as control variable.The PDOP of the point which are sampled in service region is valued as the target variable.The result indicates that the performance of optimized constellation is better than original constellation.The target variable is improved in order to ensure the performance of major service region.It proves that there is still room for improvement of located precision of original navigation constellation.

关 键 词：遗传算法 星座优化 区域导航 

分 类 号：P228[天文地球—大地测量学与测量工程]