Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7221
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorZheng, Z-
dc.creatorChen, YQ-
dc.creatorLu, X-
dc.date.accessioned2015-11-10T08:32:42Z-
dc.date.available2015-11-10T08:32:42Z-
dc.identifier.issn1000-050X-
dc.identifier.urihttp://hdl.handle.net/10397/7221-
dc.language.isozhen_US
dc.publisher武汉大学期刋社en_US
dc.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。en_US
dc.rights© 2008 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.en_US
dc.subjectUnscented Kalman filteren_US
dc.subjectExtended Kalman filteren_US
dc.subjectSatellite orbit predictionen_US
dc.subjectDynamic modelen_US
dc.subjectState transition matrixen_US
dc.titleUKF算法及其在GPS卫星轨道短期预报中的应用en_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: 郑作亚en_US
dc.description.otherinformationAuthor name used in this publication: 陈永奇, CHEN Yongqien_US
dc.description.otherinformationAuthor name used in this publication: 卢秀山en_US
dc.description.otherinformationTitle in Traditional Chinese: UKF演算法及其在GPS衛星軌道短期預報中的應用en_US
dc.description.otherinformationJournal title in Traditional Chinese: 武漢大學學報 (信息科學版)en_US
dc.identifier.spage249-
dc.identifier.epage252-
dc.identifier.volume33-
dc.identifier.issue3-
dcterms.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。-
dcterms.abstractThe 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.-
dcterms.accessRightsopen accessen_US
dcterms.alternativeUnscented Kalman Filter and its application in GPS satellite orbit short-dated prediction-
dcterms.bibliographicCitation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-
dcterms.isPartOf武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University)-
dcterms.issued2008-
dc.identifier.eissn1671-8860-
dc.identifier.rosgroupidr37279-
dc.description.ros2007-2008 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Zheng_Unscented_Kalman_Filter.pdf985.95 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

306
Last Week
1
Last month
Citations as of Mar 24, 2024

Downloads

262
Citations as of Mar 24, 2024

Google ScholarTM

Check


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