摘要
针对目标跟踪过程中由于模型及观测误差对目标威胁度估计不够准确的问题,将目标威胁度不确定性最小化为优化目标。基于隐马尔科夫理论及风险理论,提出了一种目标威胁等级风险控制下的传感器管理模型,设计了一种基于多Agent理论的分布式传感器管理方案求解算法。仿真实验表明,通过该模型能够顺利地解决传感器资源不足情况下的管理问题,求解质量较高,速度较快。
Due to the model error and the observation error,the inaccurate estimate of target threat exists when tracking targets.To solve the problem,minimizing the uncertainty of target threat is taken as the goal when managing sensors.Based on the Hidden Markov Model and risk theory,a sensor management model under the control of target threat level risk is proposed in this paper.A distributed optimization algorithm based on the multiple Agent theory is designed to get the optimal management scheme.Simulation experiments show that the model proposed in this paper can successfully solve the management problem in the case of insufficient sensor resources,and that by the algorithm in this paper perfect solutions can be obtained with a fast computational speed.
引文
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