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UKF算法在单站无源定位与跟踪中的应用 被引量:3

The Application of UKF Algorithm in Single-station Passive Location and Tracking
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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.
出处 《无线电工程》 2007年第4期61-64,共4页 Radio Engineering
关键词 UKF算法 相位差 单站无源定位 卡尔曼滤波 UKF algorithm phase difference single-station passive location Kalman filtering
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参考文献3

  • 1李淳.短波辐射源精确测向定位技术[J].无线电工程,2004,34(5):34-36. 被引量:4
  • 2JULIER S,UHLMANN J.A General Method Matins for Approximating Nonlinear Transformations of Probability Distributions[M].U.K.:University of Oxford,1996.
  • 3JULIER S,UHLMANN J.A New Extension of the Kalman Filter to Nonlinear System[J].IEEE Transactions on Automatic Control,2002,47(8):1406-1408.

二级参考文献1

  • 1桑炜森,顾耀平.综合电子战新技术新方法.北京:国防工业出版社,1996

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