期刊论文、会议论文

An Optimization Design Method for High Temporal Resolution Remote Sensing Satellite Constellation Based on Improved PSO Algorithm

Liu, Yulin(yulinliu@whu.edu.cn)

中文

武汉大学学报(信息科学版)

1671-8860

2018

43

12

1986-1993

2018测绘遥感高层论坛

2018测绘遥感高层论坛论文集

2018-12-01

武汉

武汉大学

10.13203/j.whugis20180160

2016YFB0500801:国家重点研发计划 41501383:国家自然科学基金 91538106:国家自然科学基金 41501503:国家自然科学基金 41601490:国家自然科学基金 2017-ZD-01:中国工程院重大咨询研究

本校为其他机构

针对定位、导航、授时、遥感、通信一体的天基信息实时服务系统对遥感信息高时间分辨率获取的需求,提出了基于改进粒子群优化(particle swarm optimization,PSO)算法的遥感卫星星座优化设计方法。基于6 N和3+4P星座构型,以重访时间间隔作为优化目标,采用改进的PSO算法对星座优化模型进行求解,分别针对全球覆盖和区域覆盖任务进行了仿真对比试验。仿真结果表明,提出的方法适用于低轨遥感卫星星座设计,满足高时间分辨率要求。

Satellite constellation design optimization as an important part of the overall design of the remote sensing satellite system, has a decisive influence on the coverage performance of remote sensing satellites. In order to meet the demand for higher temporal resolution of remote sensing information for the space-based real-time information service system, a design method for remote sensing satellite constellation based on improved particle swarm optimization (PSO) is proposed. The improved PSO introducesPcenter in the speed and position update inferior particles to enhance the learning between ...