利用径向速度的Kalman-PDA滤波算法  

Kalman-PDA approach using radial velocity

作　　者：刘代 赵永波[1] 高剑[2] 李伟[2] LIU Dai;ZHAO Yongbo;GAO Jian;LI Wei(National Lab of Radar Signal Processing,Xidian University,Xi’an 710071,China;Xi’an Electronic Engineering Research Institute,Xi’an 710100,China)

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071 [2]西安电子工程研究所,陕西西安710100

出　　处：《系统工程与电子技术》2018年第10期2195-2199,共5页Systems Engineering and Electronics

基　　金：中央高校基本科研业务费专项资金(K5051202047)资助课题

摘　　要：提出了一种利用径向速度的Kalman-PDA滤波算法(定义为KalmanV-PDA),在数据关联法(probabilistic data association,PDA)算法和Kalman滤波算法结合使用时,利用径向速度建立速度波门,推导了速度波门表达式,在量测方程中引入径向速度维,利用动目标检测(moving targets detection,MTD)测出的径向速度实时更新目标观测值中的径向速度,仿真表明,该算法相比标准的Kalman-PDA滤波算法提高了目标预测精度,改善了目标跟踪性能,而且MTD测速误差对跟踪性能影响较小。A Kalman-PDA approach(defined as KalmanV-PDA)using radial velocity is proposed.When probabilistic data association(PDA)is combined with Kalman,the radial velocity track gate is established using radial velocity.The expression of the radial velocity track gate is deduced,radial velocity dimension is introduced to the measurement equation,and radial velocity of target observed is updated with radial velocity measured by moving targets detection(MTD).The results of simulation demonstrate that the algorithm can improve the accuracy of target prediction and improve the tracking performance of the target compared with the standard Kalman-PDA algorithm,and the MTD velocity measurement error has little effect on the tracking performance.

关 键 词：径向速度 KalmanV-PDA 速度波门 动目标检测 

分 类 号：TN953[电子电信—信号与信息处理]