UKF算法在单站无源定位与跟踪中的应用  

The Application of UKF Algorithm in Single-station Passive Location and Tracking

作　　者：窦修全[1] 张建立[1] 国辛纯[2] 

机构地区：[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

出　　处：《无线电工程》2007年第4期61-64,共4页Radio Engineering

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。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.

关 键 词：UKF算法 相位差 单站无源定位 卡尔曼滤波 

分 类 号：TN953.7[电子电信—信号与信息处理]