多传感器协同识别跟踪多目标管理方法

针对被跟踪的目标中存在虚假目标的问题，首先建立基于风险理论、贝叶斯理论和证据理论的目标识别模型，在此基础上考虑边跟踪边识别的情况，建立同时考虑目标跟踪和识别性能的风险函数模型。在模型求解过程中，提出一种基于多Agent分布计算理论的分布式算法。仿真实验结果表明:目标识别框架下能够对目标有效识别并及时停止对虚假目标跟踪；提出的传感器方案求解算法具有较好的求解质量和较快的求解速度；本文传感器管理方法能够避免传感器资源浪费，提高对真目标的跟踪效果。 

Management method for multiple sensors' recognizing and tracking multiple targets cooperatively

Aimed at the problem that there are false targets among targets being tracked, a target recognition model based on risk theory, Bayesian theory and evidence theory is established firstly. Secondly, the situation of target recognition when the target is being tracked is analyzed, and a risk function model in which both target tracking and recognition are considered at the same time is established. When calculating the sensor management, a distributed algorithm based on distributed computing of multi-Agent is proposed. The simulation experiment results show that:First, targets can be recognized effectively and the tracking progress ends in time once a target is recognized as a false target under the framework of target recognition in this paper; Second, the solution of the algorithm proposed in this paper is better and the calculation speed is faster than other algorithms; Third, the sensor management method in this paper can avoid the waste of sensor resources and improve the tracking effect of real targets.