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基于卡尔曼滤波算法的目标车辆运动状态雷达估计方法

The Target Vehicle Movement State Estimation Method with Radar Based on Kalman Filtering Algorithm
作者:Jia Xin;Wu Zuolong;Guan Hsin 作者单位:State Key Lab of Automobile Simulation and Control Jilin University Changchun, China;State Key Lab of Automobile Simulation and Control Jilin University Changchun, China 加工时间:2014-03-20 信息来源:科技报告(other) 索取原文[4 页]
关键词:汽车;雷达;卡尔曼过滤;加速度估计;智能汽车
摘 要:In this paper,based on Kalman filtering algorithm,a method of target vehicle motion state radar estimation with radar(or lidar) is presented.The state equations is established based on rigid plane dynamics theory,and then with a Kalman filter to do radar data processing,the position,velocity and acceleration of the target vehicle can be estimated at the same time,so that to cover the shortage that acceleration information can not be gained with radar system.Through simulation and field tests it is verified that the detection accuracy of position and velocity of target vehicle is increasing,and the acceleration of target vehicle can be estimated effectively and accurately.
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