微多普勒是微动目标独特的特征,车轮旋转的微多普勒是卡车目标的重要特征,可为卡车的识别研究提供依据。首先基于散射点模型,结合卡车和雷达的位置关系,采用画家算法对卡车进行遮挡效应建模;其次,建立了卡车微动模型,分析了卡车运动时非旋转散射点多普勒及轮毂旋转散射点微多普勒随方位角、掠地角、速度和加速度的变化规律,为卡车微多普勒特征提取及识别研究打下基础。仿真验证了该方法的有效性和理论分析的正确性。
Micro-Doppler is a unique characteristic of micro-motion targets, as an important signature of truck, micro-Doppler generated by rotation of wheels will offer proof for recognition of the truck. Firstly, on the basis of scatterer model, taking the relative position between radar and truck into consideration, the occlusion model of truck is established by applying the Painter's algorithm in computer graphics; then the micro-motion of truck is modeling, the variation of Doppler and micro-Doppler with azimuth, depression angle, velocity and acceleration is analyzed for non-rotating scatterers and rotating scatterers respectively, which is the fundament of signature extraction and target recognition for the truck based on micro-Doppler. The effectiveness of the method and correctness of the analysis are proved by simulation results.