计算机与数字工程2016，Vol.44Issue(3)：445-448,4.DOI:10.3969/j.issn.1672-9722.2016.03.014
基于 SVD-U KF 单站无源定位算法研究磁
Single Observer Passive Location Algorithm Based on SVD-UK F
夏忠婷 1武洋 2黄苏豫1
作者信息
- 1. 中国电子科技集团公司第二十八研究所南京 210007
- 2. 南京电子技术研究所南京 210000
- 折叠
摘要
Abstract
This paper presents a new single observer passive location algorithm based on singular value decomposition— Unscented Kalman Filter(SVD‐UKF) .This algorithm gets the source of information for the DOA by observation plat‐forms ,uses SVD total least square batch method to calculate a target point initial position ,applies the initial position in sub‐sequent UKF filter to obtain highly accurate positioning information of the radiation source .Monte Carlo simulations show that the algorithm has high positioning accuracy ,fast convergence and is better able to meet the application requirements of engineering .关键词
奇异值分解/不敏卡尔曼滤波/单站无源定位/总体最小二乘法Key words
singular value decomposition/unscented Kalman filter/single observer passive location/total least squares method引用本文复制引用
夏忠婷,武洋,黄苏豫..基于 SVD-U KF 单站无源定位算法研究磁[J].计算机与数字工程,2016,44(3):445-448,4.
