一种基于自聚焦的交通雷达测速算法  

Velocity Estimation Algorithm for Traffic Surveillance Radar Based on Autofocus

作　　者：刘丽[1] 李勇[1] 

机构地区：[1]雷达成像与微波光子技术教育部重点实验室(南京航空航天大学),南京航空航天大学电子信息工程学院,南京210016

出　　处：《南京航空航天大学学报》2013年第6期843-848,共6页Journal of Nanjing University of Aeronautics & Astronautics

基　　金：国家自然科学基金(61301210)资肋项目;江苏省高校优势学科建设工程资助项目;航空科学基金(20112052025)资助项目;国防基础科研计划(B2520110008)资助项目;南京航空航天大学基本科研业务费(NS2013023)资助项目

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。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.

关 键 词：逆合成孔径雷达 参数估计 最小熵 图像偏置 

分 类 号：TN957[电子电信—信号与信息处理]