融合遗传蚁群算法的区域覆盖卫星星座优化算法

针对特定区域覆盖并密集重访的卫星星座优化设计问题,采用回归轨道和共星下点轨迹星座的设计方案,提出特定区域内重点地区权值排序覆盖并融合遗传蚁群算法优化求解卫星星座轨道参数的方法。分析区域覆盖星座的设计需求,建立回归轨道覆盖区域模型,利用遗传蚁群算法计算出最优轨道根数,使用共星下点轨迹星座求解算法求出所有星座参数。仿真实验结果表明优化设计的星座满足对于区域目标的覆盖时间和重访次数需求,并对重要地点按照权值排序进行了侧重性覆盖和重访,验证了算法的可行性。

Regional coverage satellite constellation optimization algorithm fused with genetic ant colony algorithm

In order to optimize the design of satellite constellations with specific area coverage and intensive revisits, a design scheme of regression orbit and co-subsatellite point trajectory constellation was adopted, and a method to optimally solve the satellite constellation orbit parameters by integrating genetic ant colony algorithm with the weight ranking coverage of key areas in specific area was proposed. The design requirements of the regional coverage constellation were analyzed, a regression orbit coverage area model was established, the optimal orbit root number was calculated by using the genetic ant colony algorithm, and all the constellation parameters were solved through using the co-subsatellite point trajectory constellation solution algorithm. The simulation results show that the optimized constellation meets the coverage time and revisit frequency requirements for the area target, and provides focused coverage and revisits of important locations in order of weight, which verifies the feasibility of the algorithm.