摘要
分析和确定了Flower星座的优化参数,从参数编码、适应度评价和算法流程设计三个方面进行讨论,给出了Flower星座的遗传算法优化模型.利用自行开发的卫星星座仿真软件SatSim(satellite simulation)和STK(satellite tool kit)工具包,设计了适合中国区域通信的三个Flower星座并进行了性能分析.仿真结果表明,4和5颗星的星座在最小仰角10°的条件下对中国的平均覆盖率分别为97.26%和99.24%;6颗星的星座在最小仰角15°的条件下对中国的平均覆盖率为99.88%,基本实现对中国的连续覆盖,可以满足卫星移动通信的需求.
A regional coverage Flower constellations optimization model is proposed by using a modified genetic algorithm, after the optimization parameters of Flower constellations were analyzed. Using C application software satsim （satellite simulation） developed by the authors and the commercial software STK （satellite tool kit）, three optimized regional coverage Flower constellations for China were designed and analyzed based on the proposed model. The experimental results show that, under elevation mask of 10°, the average coverage ratios of the first two Flower constellations consist of 4 and 5 satellites are up to 97.26 % and 99.24 % respectively for the territory of china; under elevation mask of 15°, the average coverage ratio of the third one consists of 6 satellites is up to 99.88 %. This research offers a reference for China regional satellite communication system construction.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第6期8-10,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国防预研基金资助项目
关键词
遗传算法
Flower星座
星座设计
区域覆盖
genetic algorithm
flower constellation
constellation design
regional coverage
