飞控与探测2025，Vol.8Issue(5)：34-43,10.DOI:10.20249/j.cnki.2096-5974.2025.05.004
面向地面移动目标观测的多星成像在线调度方法
Online Imaging Scheduling Method of Multiple Satellites for Ground Moving Target Observation
摘要
Abstract
Aiming at the problem of multiple satellites collaborative planning with unobservable ground moving targets,this paper studies the online imaging scheduling method based on improved deep rein-forcement learning algorithms.First,based on the satellite imaging coverage calculation method,an ima-ging strip partitioning algorithm is proposed.Second,based on the visible time window,strip and satellite orbit information,a multiple satellites cooperative observation mission planning model based on the par-tially observable Markov decision process(POMDP)is established.Then,a proximal policy optimization algorithm with an action mask and advantage normalization mechanism is proposed,which improves the convergence rate of the algorithm for solving the partial strip coverage task area scheduling problem.Fi-nally,the correctness and superiority of the proposed algorithm are verified by three sets of simulations.关键词
移动目标/成像卫星调度/部分可观马尔可夫决策过程(POMDP)/深度强化学习Key words
moving target/imaging satellite scheduling/partially observable Markov decision process(POMDP)/deep reinforcement learning引用本文复制引用
熊韫文,李毅,魏才盛..面向地面移动目标观测的多星成像在线调度方法[J].飞控与探测,2025,8(5):34-43,10.基金项目
国家自然科学基金(62373379) （62373379）
