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UKF算法在单站无源定位与跟踪中的应用
引用本文:窦修全,张建立,国辛纯.UKF算法在单站无源定位与跟踪中的应用[J].无线电工程,2007,37(4):61-64.
作者姓名:窦修全  张建立  国辛纯
作者单位:1. 中国电子科技集团公司第54研究所,河北,石家庄,050081
2. 天津大学,电子信息工程学院,天津,300072
摘    要:提出了相位差与无迹卡尔曼(UKF)算法相结合的单站无源定位方法。把2个相互正交的相位干涉仪测量出目标辐射电磁波的相位差信息作为观测量,采用UKF滤波算法加以处理,对粗略定位结果进行修正和平滑,逐步估计出目标的位置和速度,来实现对辐射源目标的快速高精度无源定位。UKF与传统的EKF滤波算法相比,不用计算雅克比矩阵,实现简单,且有更高收敛速度和定位精度。

关 键 词:UKF算法  相位差  单站无源定位  卡尔曼滤波
文章编号:1003-3106(2007)04-0061-04
修稿时间:2006-12-25

The Application of UKF Algorithm in Single-station Passive Location and Tracking
DOU Xiu-quan,ZHANG Jian-li,GUO Xin-chun.The Application of UKF Algorithm in Single-station Passive Location and Tracking[J].Radio Engineering of China,2007,37(4):61-64.
Authors:DOU Xiu-quan  ZHANG Jian-li  GUO Xin-chun
Affiliation:1. The 54th Research Institute of CETC, Shijiazhang Hebei 050081, China; 2. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China
Abstract:A new single-station passive location method combining phase difference and UKF algorithm is presented.The method takes target emitter’s phase difference information measured by two orthogonal phase interferometer as observation variables,uses UKF algorithm to rectify and smooth raw location results,estimates target’s location and velocity step by step to realize fast and high precision passive location.Compared with traditional EKF filtering algorithm,UKF doesn’t need Jacobi matrix calculation,is easy to implement,and has faster convergence speed and higher location precision.
Keywords:UKF algorithm  phase difference  single-station passive location  Kalman filtering
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