基于多普勒特征的雷达地面目标过滤方法

机载预警雷达在探测空中目标时,常面临地面目标的点干扰和航迹干扰。地面目标过滤是机载预警雷达航迹优化的重要内容,可以有效改善目标航迹质量。针对地面目标过滤问题，本文研究了基于多普勒特征的地面空中目标识别方法。首先在对交通流建模仿真的基础上,分析了地杂波背景下高速公路目标回波的多普勒特征;然后利用地面和空中目标的多普勒特征差异,设计了一种目标分类准则。仿真结果表明分类准则在确保空中目标具有较高识别概率的同时,也保证了对地面目标具有较高的识别概率,从而能够有效滤除大部分地面高速公路目标。

Ground target filtering method of radar based on Doppler features

The airborne early warning radar often faces some disturbances such as ground target plots and track when it detects air targets. The filtering of ground targets, which can improve target track quality effectively, is an important part of track optimization of airborne early warning radar. Aiming at ground target filtering, a method of ground and air target recognition based on Doppler feature is studied. First, on the basis of modeling and simulating traffic flow, the Doppler feature of freeway target echoes in the presence of ground clutter is analyzed, and then a rule of target classification based on differences of Doppler feature between ground targets and air targets is designed. The simulation results show that classification rule assures high re-cognition probability of ground targets while assuring high recognition probability of air targets, which accordingly filters most of the ground freeway targets effectively.