基于操作风险的双模式传感器管理方法  

A dual-mode sensor management method based on operational risk

作　　者：庞策 单甘霖 PANG Ce;SHAN Gan-lin(Department of Electronic and Optical Engineering,Army Engineering University,Shijiazhuang 050000,China)

机构地区：[1]陆军工程大学电子与光学工程系,石家庄050000

出　　处：《控制与决策》2020年第12期2993-2998,共6页Control and Decision

基　　金：国家部委预研基金项目(012015012600A2203)。

摘　　要：基于风险理论研究同时面向目标检测和跟踪任务的传感器管理方法.首先,定义目标检测风险和目标跟踪风险,并分别给出计算方法;其次,以目标检测风险最小化为目标函数建立传感器部署模型,以目标检测风险和目标跟踪风险之和最小化为目标函数建立传感器调度模型,且该调度发生在前面传感器部署模型建立的传感器网络之上;然后,针对模型的求解,同时为克服基本人工蜂群算法易陷入局部最优的缺点,提出改进的双向轮盘赌-粒子群-蜂群算法;最后,通过仿真验证模型和算法的有效性.A sensor management method for the combined task of target detecting and target tracking is studied based on risk theory.Firstly,the target detecting risk and target tracking risk are separately defined,and the computing methods are given.Then,minimizing the total of the target detecting risk and the target tracking risk is seen as the objective function,to build the sensor scheduling model.What is worthy of emphasizing is that the sensor scheduling takes place on the sensor network which is deployed by the preceding sensor deployment model.To get solutions for the two models,and to overcome the artificial bee colony algorithm’s defect of easily striking in local optimum,the improved bee colony algorithm based on two-way roulette and particle swarm is proposed.Finally,simulations are carried out to illustrate effectiveness of the proposed models and algorithm.

关 键 词：传感器管理 传感器部署 传感器调度 目标检测 目标跟踪 操作风险 人工蜂群算法 

分 类 号：TP219[自动化与计算机技术—检测技术与自动化装置]