基于微多普勒特征的运动车辆分类方法研究

Study on Moving Vehicles Classification Based on Micro-Doppler Signatures

本文首先分析了轮式车辆和履带式车辆的运动模型和微动特性。针对窄带雷达条件下轮式车辆和履带式车辆分类的问题,提出了两种基于微多普勒特征的分类方法。方法利用履带式车辆在行驶过程中,由履带的微动所产生的多普勒分量,实现对轮式车辆和履带式车辆的区分。基于实测数据的分析结果表明,所提方法对这两类目标具有较好的分类效果。

Motion model and micro-motion signatures of wheeled and tracked vehicles are analyzed. In order to solve classification of wheeled and tracked vehicles for narrow band radar, two classification methods based on mi-cro-Doppler signature are proposed. Classification of wheel and tracked vehicles can be achieved by using Doppler component due to micro-motion of tracked vehicle during traveling. Analyzing to actual test data indicates that these two classification methods perform well in the classification of wheeled and tracked vehicles.