引用本文: | 单甘霖,庞策,段修生.面向作战任务的最小风险传感器调度方法[J].国防科技大学学报,2020,42(2):186-193.[点击复制] |
SHAN Ganlin,PANG Ce,DUAN Xiusheng.Sensor scheduling method based on minimum risk facing the combat task[J].Journal of National University of Defense Technology,2020,42(2):186-193[点击复制] |
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面向作战任务的最小风险传感器调度方法 |
单甘霖,庞策,段修生 |
(陆军工程大学 电子与光学工程系, 河北 石家庄 050000)
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摘要: |
基于风险理论提出一种面向不同目标探测任务的传感器调度方法。将主动传感器辐射被截获风险和目标探测风险结合起来,建立一般目标探测框架下的传感器最小风险调度模型。分目标跟踪、目标识别和目标威胁等级评估三种情况将传感器最小风险调度模型具体化,给出不同情况下目标探测风险值的计算方法。针对模型的求解提出一种基于混沌思想、反向学习和双向轮盘赌的改进人工蜂群算法。通过仿真实验证明了模型的可行性和算法的有效性。 |
关键词: 传感器调度 风险理论 目标跟踪 目标识别 威胁等级评估 蜂群算法 |
DOI:10.11887/j.cn.202002025 |
投稿日期:2018-10-31 |
基金项目:国家部委基金资助项目(012015012600A2203) |
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Sensor scheduling method based on minimum risk facing the combat task |
SHAN Ganlin, PANG Ce, DUAN Xiusheng |
(Department of Electronic and Optical Engineering, Army Engineering University, Shijiazhuang 050000, China)
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Abstract: |
A sensor scheduling method based on the minimum risk was proposed for different target detecting tasks. The risk of active sensor being intercepted and the risk of target detecting were combined to build the sensor scheduling model based on the minimum risk under the form frame of target detecting. Three different kinds of target detecting task, for example, target tracking, target identification, and estimation of targets′ threat level, were considered separately to crystallize the sensor scheduling model based on the minimum risk, with three calculating methods of the target detecting risk given. For solving the model, an improved artificial bee colony algorithm was raised on the basis of the chaos theory, the backward learning and the two-way roulette. Simulations were made to illustrate that the proposed model is feasible and the algorithm is effective. |
Keywords: sensor scheduling risk theory target tracking target identification estimation of threat level bee colony algorithm |
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