地面侦察雷达目标威胁度评估方法研究

根据目标状态参数和身份识别结果，对目标的威胁度进行评估是地面侦察雷达急需解决的问题。基于地面侦察雷达的目标属性集，利用隶属度函数、专家知识和贝叶斯网络构建了地面侦察雷达动态威胁度贝叶斯评估模型。经仿真验证，目标威胁度评估数据变化特征符合人的推理过程，对于多功能相控阵雷达，可根据目标威胁度自适应调度波束实现对目标的跟踪。

Study of Target Threat Assessment for Ground Surveillance Radar

The target threat assessment for ground surveillance radar based on the target state parameters and the identification results is an issue urgently to be solved. Based on the attribute set of targets, a dynamic Bayesian model of target threat assessment for ground surveillance radar is constructed by using membership function, expert knowledge and Bayesian network. Simulation results show that the variation characteristics of the target threat assessment data conform to the reasoning process of human. The dynamic Bayesian model of target threat assessment can be applied practically in the ground surveillance radars. Multifunction phased array radar can track the target in virtue of adaptive scheduling beam with target threat assessment.