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测角目标定位的协方差矩阵旋转变换滤波算法
引用本文:邓新蒲,周一宇,万钧力.测角目标定位的协方差矩阵旋转变换滤波算法[J].电子学报,2000,28(12):122-124.
作者姓名:邓新蒲  周一宇  万钧力
作者单位:1. 国防科技大学电子科学与工程学院,长沙 410073;2. 三峡学院机电系,宜昌 443003
摘    要:基于滤波量比预测量和测量量都准确这一原理,该文提出一种适用于只测角无源定位的非线性滤波算法——协方差矩阵旋转变换的推广Kalman滤波算法.文中推导了协方差矩阵变换的原理,给出了二维只测角无源定位应用的协方差矩阵旋转变换公式.仿真表明该算法比同类型的基于微分线性化和泛线性化的Kalman滤波算法具有更好的性能.

关 键 词:无源定位  无源跟踪  推广卡尔曼滤波  协方差矩阵旋转变换  
文章编号:0372-2112(2000)12-0122-03
收稿时间:1999-12-24

A Rotated Covariance Extended Kalman Filter Algorithm for Angle-Only Position Estimation
DENG Xin pu ,ZHOU Yi yu ,WAN Jun li.A Rotated Covariance Extended Kalman Filter Algorithm for Angle-Only Position Estimation[J].Acta Electronica Sinica,2000,28(12):122-124.
Authors:DENG Xin pu  ZHOU Yi yu  WAN Jun li
Affiliation:1. School of Electronic Science and Engineering,National Univ.of Defence Technology,Changsha 410073,China;2. Dept.of Mechanical and Electronic Engineering,SanXia College,Yichang 443003,China
Abstract:A rotated covariance extended Kalman filter algorithm which is very useful for emitter passive localization and tracking is presented in this paper.The rotation transformation on covariance matrix of extended Kalman filter subtly handles the nonlinear problem in stochastic estimation problems with simplicity.In this paper,principle of rotated covariance is derived first,then detailed algorithms for 2D passive localization are developed.Experimental results show that the proposed algorithm is better than those linearization by differentiation based extended Kalman filter and universal linearization concept based extended Kalman filter.
Keywords:passive localization  passive tracking  EKF  rotation of covariance math
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