CAJ | 학술논문

为了使有限时域内的跟踪精度和辐射风险达到最佳平衡，本文研究了多传感器平台在协同跟踪目标时的主被动传感器调度问题。将该问题建立成基于部分可观马氏决策过程的数学模型以同步实现目标跟踪和辐射控制。在先见优化思想的基础上，借助由无迹采样近似得到的精度收益及由隐马氏模型滤波器推导出的辐射代价将调度问题转化成决策树问题，并采用分枝定界方法求解。仿真结果表明了该方法的有效性。
위료사유한시역내적근종정도화복사풍험체도최가평형，본문연구료다전감기평태재협동근종목표시적주피동전감기조도문제。장해문제건립성기우부분가관마씨결책과정적수학모형이동보실현목표근종화복사공제。재선견우화사상적기출상，차조유무적채양근사득도적정도수익급유은마씨모형려파기추도출적복사대개장조도문제전화성결책수문제，병채용분지정계방법구해。방진결과표명료해방법적유효성。
To make an optimal trade-off between the tracking accuracy and the radiation risk in a period of time ,this paper studies the scheduling problem of selecting the active/passive sensors in the multi-platform for target tracking .The problem is for-mulated as a partially observable Markov decision process (POMDP) ,which can take both target tracking and emission control into account .Based on the foresight optimization ,the approximate accuracy reward and the radiation cost ,which are derived from the un-scented transformation sampling and hidden Markov model (HMM ) filter respectively ,transform our problem into a tree search problem ,and the branch and bound method is used for problem solution .The simulation results demonstrate the effectiveness of our approach .