基于三维散射点模型，在窄带线性调频信号体制下对卡车目标进行回波建模，分析并推导了车身主体散射点的多普勒和轮毂旋转散射点微多普勒的数学表示. 利用两者的差异，有针对性地设计了单频和正弦调频原子集. 设置相应的阈值门限，提取出慢时间-距离平面能量较为集中的距离单元，并对其进行匹配分解，快速提取了卡车车轮旋转的微多普勒特征，为卡车目标的识别研究提供了依据. 仿真验证了该方法的有效性和稳健性.
Based on a three-dimensional scatterer model, the echo from a truck is modeled under narrowband chirp signal system. Mathematical representations of the Doppler generated by bulk scatterers and micro-Doppler due to the rotating scatterers on the hub are analyzed and derived. A dictionary is designed
in terms of their differences. Meanwhile, a threshold of energy in slow time-range plane is set, which is useful in the extraction of echoes in energy-centralized range cells. Matching pursuit can be implemented by decomposing the echoes into corresponding atoms. Fast extraction of micro-Doppler signature of wheel rotation is accomplished. These provide references for truck recognition. Effectiveness and robustness of the method are shown by the simulation results.
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