中文摘要：

针对一种横向安装的交通监测雷达研究了其用于车辆实时运动测速的信号处理方法。基于逆合成孔径雷达原理建立了雷达回波数学模型，分析了运动目标速度与多普勒参数内在关系，并提出了一种基于自聚焦的目标速度估计算法。该算法采用两步估计来完成速度测量，首先用最小熵检测算法对目标速度进行粗搜索，再用图像偏置法完成目标速度的精确估计。仿真结果验证了算法的有效性，速度测量误差可小于1km／h，且运算效率高，满足实时处理要求。

英文摘要：

A real-time velocity measurement method for a transversely-mounted traffic surveillance radar is presented. The mathematic model based on the inverse synthetic aperture radar is developed followed with the internal relation analysis between the speed of the moving vehicle and its Doppler parameters. The improved velocity estimation algorithm mainly involves two processing steps. Firstly, the minimum entropy principles are used to achieve the coarse velocity measurement. Secondly, the more accurate ve- locity is estimated by using the map drift autofocusing. The simulation results demonstrate the validity and efficiency of the proposed methodology. The speed measurement error is less than 1 km/h which fulfills the requirement of real-time processing.