摘要
针对调频连续波(FMCW)交通监测雷达车辆目标速度测量和长度估计问题,建立了基于逆合成孔径雷达(ISAR)原理的雷达回波数学模型,分析了待测量目标运动速度与多普勒参数的内在关系,采用基于最大对比度算法(MCA)的多普勒调频斜率的估计方法,能有效提高雷达的车辆监测效能,仿真数据分析以及实测数据的结果均验证了算法的有效性。实验结果表明,最大对比度算法可以准确地估计出移动目标的移动速度并能提供车辆长度信息,为交通监控提供了新的途径和方法。
In order to estimate the velocity and length of the moving vehicle in FMCW traffic surveillance radar,the target echo signal based on the inverse synthetic aperture radar（ISAR） is modeled.The relationship between the target velocity and the Doppler parameters is analyzed.The use of maximum contrast algorithm can effectively improve the performance of radar monitoring.Simulation data analysis and the results of measured data verify the effectiveness of the algorithm.The experimental results show that MCA can accurately estimate the velocity of moving vehicle and can provide the information about vehicle length,which provides new ways and means for traffic surveillance.
出处
《雷达科学与技术》
2012年第2期217-222,226,共7页
Radar Science and Technology
