卫星单轨任务合成观测问题及其动态规划算法  

Satellite orbit task merging problem and its dynamic programming algorithm

作　　者：白保存[1] 贺仁杰[1] 李菊芳[1] 陈英武[1] 

机构地区：[1]国防科技大学信息系统与管理学院,湖南长沙410073

出　　处：《系统工程与电子技术》2009年第7期1738-1742,共5页Systems Engineering and Electronics

基　　金：国家自然科学基金资助课题(70601035;70801062)

摘　　要：一类遥感卫星的侧摆机动性能较差,必须考虑将某些任务合成观测以提高观测效率。研究了卫星在单个轨道圈次内,任务间的最优合成观测问题。建立了问题的约束优化模型,分析合成任务性质,基于合成任务间存在角度相关及时序特征,将问题按照卫星的最大侧摆次数划分为多个阶段,利用动态规划思想,得到了问题的最优解。测试算例验证了算法的有效性。Some of remote sensing satellites have rigid constraints in slew activities, which limit the satellite observing activities. When multiple targets locate in the same swath, they can be combined into one task and observed together. Satellite orbit task merging problem （SOTMP） is proposed, the combined task features angle-dependent effects and sequence characteristics, so the problem can be partitioned into multi-phase according to the maximum slew times. The dynamic programming algorithm is developed to find the global optimal solu- tion. Experiment results show that the effectiveness of the proposed approach.

关 键 词：遥感卫星 任务合成 动态规划 侧摆 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]