一种典型的机载相控阵雷达仿真系统

雷达系统仿真的主要目的是建立雷达系统的数学模型和电磁场环境。雷达信号处理和数据处理的仿真主要是针对选择的算法完成参数寻优。讨论了机载相控阵雷达系统的建模和仿真。从功能实现的角度描述了虚拟机载相控阵PD雷达系统的实现 ,并给出了一个在局域网内实现的仿真系统结构     

基于神经-模糊推理网络的机动目标跟踪方法

对目标机动的检测和准确跟踪，是目标跟踪研究中非常重要但难度较大的问题。在雷达和红外融合的跟踪系统，将神经-模糊推理网络与扩展Kalman滤波结合起来，形成闭环。即提取和目标机动有关的特征量送入神经-模糊推理网络，再估计目标机动输入，实现对机动目标的精确跟踪。仿真试验说明了本文所采用方法的有效性。     

Neural fuzzy inference network approach to maneuvering target tracking

In target tracking study, the fast target maneuver detecting and highly accurate tracking are very important.And it is difficult to be solved. For the radar/infrared image fused tracking system, a extend Kalman filter combines with a neural fuzzy inference network to be used in maneuvering target tracking. The features related to the target maneuver are extracted from radar, infrared measurements and outputs of tracking filter, and are sent into the neural fuzzy inference network as inputs firstly, and then the target's maneuver inputs are estimated, so that, the accurate tracking is achieved. The simulation results indicate that the new method is valuable for maneuvering target tracking.