基于低密度网格覆盖分析的重访星座优化设计

快速重访星座在对地遥感、网络通信、气象观测、近地空间环境探测等领域具有重要应用价值.网格分析法是星座设计过程中对覆盖性能分析最常用的方法，其计算量较大.针对重访星座，结合正多面体球面剖分模型和采样点分组方案，提出一种低密度网格覆盖分析的星座优化设计方法，在保证设计结果精度的前提下，整体计算量减少了80%以上.实验表明，利用该方法优化设计的多组星座构型方案均具有很好的重访特性，且极大地减少了多次优化设计总时间. 

Optimal Design of Revisit Constellation Based on Coverage Analysis of Low Density Grids Model

Fast revisit constellation can quickly obtain the state information of local or global targets, which has the advantages of continuity, and is widely used in the fields of remote sensing, network communication, meteorological observation, near Earth space environment detection. Therefore, it is of great significance to study the optimal design of the fast revisit constellation. Grid point analysis is the most commonly used method in constellation design, but its calculation is large. In this paper a constellation optimization design method based on low-density grid coverage analysis for revisiting constellation optimization design is proposed, which combines the regular polyhedron spherical partition model and the sampling point grouping scheme. This method reduces the computation by more than 80% under the premise of ensuring the accuracy of the design results. Experiments show that the multi-group constellation configuration scheme optimized by this method has good revisit characteristics, and greatly reduces the optimization design time. Moreover, compared with the statistical results of using high-density grid, the error of the optimized design results is very small.