摘要
针对双星编队干涉合成孔径雷达(Interferometric Synthetic Aperture Radar,InSAR)测绘任务的特点,考虑双星编队卫星平台的约束条件,采用多目标优化和基于优先级的遗传优化算法,实现了双星编队任务规划的各个关键步骤的设计,并对测绘任务进行了系统仿真,求取了测绘任务规划结果,最终获得了任务规划的最优解。经过与贪婪优化算法仿真结果对比分析,采用的基于优先级的遗传优化任务调度算法在双星编队卫星测绘任务优化问题求解方法方面具备明显的优势,卫星系统资源分配效能达到最优,对卫星资源的合理分配起到了关键作用。
According to the characteristics of the dual satellite formation interferometric synthetic aperture radar(InSAR)mapping task,considering the constraints of the dual satellite formation platform,multi-objective optimization and priority based genetic optimization algorithm are adopted to design each key step of the dual satellite formation task planning,and the mapping task is systematically simulated to obtain the mapping task planning results,and finally the optimal solution of the task planning is obtained.Through the comparison and analysis with the simulation results of greedy optimization algorithm,the priority based genetic optimization task scheduling algorithm has obvious advantages in solving the optimization problem of double satellite formation satellite surveying and mapping tasks.The efficiency of satellite system resource allocation is optimal,which plays a key role in the reasonable allocation of satellite resources.
作者
李鹏宇
崔家山
孙然
LI Pengyu;CUI Jiashan;SUN Ran(School of Sino-German Engineering,Shanghai Technical Institute of Electronics&Information,Shanghai 201411,China;School of Aerospace Science and Technology,XiDian University,Xi'an 710126 China;School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《测控技术》
2023年第7期73-79,共7页
Measurement & Control Technology
基金
陕西省自然科学基础研究计划项目(2020GY-003)。
