基于雷达回波极化特征的电力线识别方法

A Power Line Recognition Method Based on Polarization Characteristics of Radar Echoes

现有的雷达对电力线的探测能力严重不足,这严重威胁低空飞行器如直升机的飞行安全。研究表明,线状物体对雷达垂直极化和水平极化信号响应强弱具有明显差异性,我们利用回波信号的极化特性建立起多维特征空间,并在该空间内完成电力线目标的感知、分类。某在研直升机低空防撞雷达的实测飞行数据表明,在利用极化信息所构建的特征空间内可有效区分电力线目标和虚假目标,准确率达到91%以上。该方法将有利于推动电力线障碍物预警雷达走向实用化。

The insufficient detection capability for power line obstacles of the existing radars cannot guarantee the low-altitude flight safety of aircrafts.Based on the different responses between vertical and horizontal polarization signals played on linear objects,we build a multidimensional feature space by leveraging polarization characteristics to implement the power line classification.The measured flight data from a developing helicopter obstacle warning radar demonstrate the high recognition accuracy(above 91%)of distinguishing power line and false targets in the proposed feature space.The proposed power line recognition method can promote the practicality of obstacle warning radar.