基于道路信息的雷达地面目标过滤

地面目标过滤是机载预警雷达航迹优化的一个重要内容，可以有效地改善目标航迹质量。针对地面目标过滤问题研究了一种利用道路信息的地面空中目标识别方法。首先给出了一种将目标滤波点迹匹配到路段的快速算法，该匹配算法可以快速选择用来识别目标的路段，然后在目标沿直线道路行驶和沿折线道路转弯行驶两种情况下，设计了相应的基于航迹与道路相似度的识别规则，最后通过仿真实验验证了上述识别规则的可行性和有效性。仿真结果表明，该识别规则能以较高概率识别地面目标以及与道路相似度不大的空中目标。

Ground target filtering for radar based on road information

The filtering of ground targets, which can improve the track of targets in quality effectively, is an important part of track optimization of an airborne early warning radar. Considering the problem, a method of ground and air target recognition based on road information is studied. First, a fast arithmetic which matches target filtering plots to a section of a road is given, which can choose the roads used to recognize ground and air targets. Then, the corresponding recognition rules based on the similarity of track and road are designed when a target moves along a straight road or a flexural road. Finally, a simulation is implemented to validate the recognition rule above. The simulation results show that when the rule is adopted, the recognition probabilities of ground targets and air targets whose tracks are not very similar to roads are high.