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基于卡尔曼滤波算法的单站无源定位原理分析与研究
引用本文:乔梁.基于卡尔曼滤波算法的单站无源定位原理分析与研究[J].山东理工大学学报,2007,21(2):7-9,13.
作者姓名:乔梁
作者单位:广东金融学院计算机科学与技术系,广东广州510520
摘    要:对空中机动辐射源的定位和跟踪,主要采用卡尔曼滤波方法.提出了一种测量目标辐射源脉冲到达时间和到达方向实现固定单站对运动辐射源进行无源定位的算法.运用卡尔曼滤波器这种算法可以获得很好的定位效果.通过计算机仿真,验证了该方法的正确性与有效性.

关 键 词:无源定位  扩展卡尔曼滤波  方位角  到达时间  到达方向
文章编号:1672-6197(2007)03-0007-03
修稿时间:2006-05-08

Analysis and study of single observer passive location based on Kalman filter arithmetic
QIAO Liang.Analysis and study of single observer passive location based on Kalman filter arithmetic[J].Journal of Shandong University of Technology:Science and Technology,2007,21(2):7-9,13.
Authors:QIAO Liang
Affiliation:Department of Computer Science and Technology, Guang Dong University of Finance, GuangZhou 510520, China
Abstract:The positioning method for motive target is Kalman Filter, An algorithm for the moving emitter passive location and tracking based on TOA and DOA measurements by a single fixed station is given. By using EKF, this algorithm can obtain better location performance. With the help of computer simulation, the method is proven to be correct and effective.
Keywords:passive location  EKF  azimuth angle  arrival time  direction of arrival
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