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基于扩展卡尔曼滤波算法的无源定位效果分析
引用本文:孟祥飞.基于扩展卡尔曼滤波算法的无源定位效果分析[J].电子科技,2012,25(3):25-27.
作者姓名:孟祥飞
作者单位:(西安电子科技大学 电子工程学院,陕西 西安 710071)
摘    要:将扩展卡尔曼滤波算法由6维推广至9维,根据观测到的坐标位置、方位角和俯仰角,应用扩展卡尔曼滤波算法进行滤波,并通过计算机仿真得以验证,从而获得较好的定位效果。

关 键 词:无源定位  扩展卡尔曼滤波  坐标位置  

Analysis of the Effects of Passive Location Based on the Extended Kalman Filtering Algorithm
MENG Xiangfei.Analysis of the Effects of Passive Location Based on the Extended Kalman Filtering Algorithm[J].Electronic Science and Technology,2012,25(3):25-27.
Authors:MENG Xiangfei
Affiliation:(School of Electronic Engineering,Xidian University,Xi'an 710071,China)
Abstract:According to the observed coordinate,azimuth and elevation,the extended kalman filter algorithm is expanded from six to nine dimensions.A new extended kalman filtering algorithm is proposed,and its performance is better than the original ones.The conclusions are verified by theoretic analysis and simulations.
Keywords:passive location  extended kalman filtering  coordinate position
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