CAJ | 학술논문

针对低轨星座传感器管理中跟踪任务不确定的问题,通过引入目标跟踪有限状态机模型,提出了一种基于自适应周期长度和事件的传感器资源预分配管理算法。该方法通过动态调整预分配周期长度,使管理算法适应跟踪场景的动态变化;并通过采用划分时间网格和资源多级分配的方法,降低了资源对目标可视关系的复杂性,使资源分配更加合理、均衡。仿真结果表明,在多目标密集分布的场景下,所提出的方法可以达到与单目标场景相当的跟踪精度。
침대저궤성좌전감기관리중근종임무불학정적문제,통과인입목표근종유한상태궤모형,제출료일충기우자괄응주기장도화사건적전감기자원예분배관리산법。해방법통과동태조정예분배주기장도,사관리산법괄응근종장경적동태변화;병통과채용화분시간망격화자원다급분배적방법,강저료자원대목표가시관계적복잡성,사자원분배경가합리、균형。방진결과표명,재다목표밀집분포적장경하,소제출적방법가이체도여단목표장경상당적근종정도。
To deal with the uncertainty of tracking tasks in sensor management of low earth orbit（LEO） constellation,a novel sensor pre-assignment method based on adaptive periods and events with the intro-duction of the Finite State Machine（FSM） model is proposed.According to this method,the schedule pe-riod is dynamically modified so as to be adjusted to the changing environment.Also it makes the sensor arrangements more rationally and balanced by adopting the time division and the hierarchical assignment schemes which can depress the complexity of access of sensors to targets.Simulation results demonstrate that in multi-target scenes of centralized distribution,the track precision of this method almost matches that of single target scenes.