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作 者:安雷 吉兵 李召瑞 AN Lei;JI Bing;LI Zhao-rui(Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050051, China)
机构地区:[1]陆军工程大学石家庄校区,河北石家庄050051
出 处:《指挥控制与仿真》2021年第2期9-14,共6页Command Control & Simulation
摘 要:传感器调度是指在一定的准则下,结合实际应用场景,依据观测信息对传感器平台或传感器本身的工作模式、工作时长、机动路径等进行一系列调整和控制,从而降低传感器系统使用代价,提高跟踪效能,延长系统寿命的方法,也是传感器管理的一项重要内容。基于部分可观马尔可夫决策过程,对传感器调度的基本结构进行了简要描述,同时分析了调度模型和基本流程,归纳了调度中的相关规则和约束条件,并区分决策指标、优化方式,讨论调度技术及方法,分析了各类寻优算法在调度方案求解中的应用。最后,就传感器调度研究的热点问题和发展方向提出了相关思考。Sensor scheduling refers to a method under the certain criteria and combined with the practical application scenarios that make a series of adjustments and controls for working mode,working time,maneuver path and others of the sensor platform or the sensor itself according to the observation information,thus to reduce the use cost of the sensor system and improve the tracking efficiency and prolong the system life,it's also an important content of sensor management.Based on the partial observable Markov decision process,this paper briefly describes the basic structure of sensor scheduling,analyzes the scheduling model and basic process,summarizes the relevant rules and constraints in the scheduling,and discusses the scheduling technology and method from the decision indicators and optimization methods,and analyzes the application of various optimization algorithms in solving the scheduling scheme.Finally,it puts forward some personal view about the hot topics and development direction of sensor scheduling.
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