Please use this identifier to cite or link to this item:
Title: UKF算法及其在GPS卫星轨道短期预报中的应用
Other Titles: Unscented Kalman Filter and its application in GPS satellite orbit short-dated prediction
Authors: Zheng, Z
Chen, YQ 
Lu, X
Keywords: Unscented Kalman filter
Extended Kalman filter
Satellite orbit prediction
Dynamic model
State transition matrix
Issue Date: 2008
Publisher: 武汉大学期刋社
Source: 武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University), Mar. 2008, v. 33, no. 3, p. 249-252 How to cite?
Journal: 武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University) 
Abstract: 分析了GPS卫星预报星历,在比较分析EKF和UKF优缺点的基础上,将UKF引入GPS卫星轨道预报研究中。数值模拟和结果分析表明,UKF方法预报更稳定,能有效地提高轨道预报精度和稳定性。
The paper analyze the GPS ephemeris,on the base of comparing EKF to UKF,a hybrid orbit prediction method is investigated based on UKF in this paper.It is shown that UKF is more stable,and improved the orbit predicted precision.It offers a new idea for some others satellites orbit determination as Galileo.
ISSN: 1000-050X
EISSN: 1671-8860
Rights: © 2008 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2008 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Zheng_Unscented_Kalman_Filter.pdf985.95 kBAdobe PDFView/Open
View full-text via PolyU eLinks SFX Query
Show full item record
PIRA download icon_1.1View/Download Contents

Page view(s)

Last Week
Last month
Citations as of Aug 14, 2018


Citations as of Aug 14, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.