研究了低轨星座跟踪自由段目标背景下的多目标多传感器调度问题.论述了自由段目标运动模型和星载红外传感器测量模型.考虑到目标出现的时空不确定性,面向系统的跟踪性能,建立了基于突发事件和滚动周期的调度框架以及调度与跟踪的闭环结构.基于此,建立了调度的具体算法.特别地,以调度周期内系统的信息增量最大化为目标,详细设计了基于PCRLB的调度策略性能指标.仿真验证了算法的可行性、优越性以及在动态环境中的适应性.%The problem of muiti-target/multi-sensor management for tracking coasting-phase targets by means of sensors located on the LEO satellite constellation is studied. The coasting-phase target dynamics model and the satellite-borne IR sensor measurement model are reviewed. Considering the space-time uncertainties events of targets emergence, the unexpected-event and rolling-period ( UERP) based management framework, together with the closed-form structure composed of sensor management and target track. is established to realize the excellent tracking performance. Furthermore, a detailed management algorithm is proposed. Specially, aiming to maximize the system ' s information increment in the scheduling period, the PCRLB based performance criteria is explicitly deducted to evaluate the system performance in terms of tracking error which is dependent on different sensor placements. The numerical simulations are implemented to confirm that the proposed management algorithm is provided with feasibility, superiority and adaptability confronted with the scenario of varying number of targets.
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