Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Validation of BeiDou Observations

    200003_200003.pdf (2.024Mb)
    Access Status
    Open access
    Authors
    El-Mowafy, Ahmed
    Hu, C.
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    El-Mowafy, A. and Hu, C. 2014. Validation of BeiDou Observations. Journal of Applied Geodesy. 8 (2): pp. 155-168.
    Source Title
    Journal of Applied Geodesy
    DOI
    10.1515/jag-2013-0027
    ISSN
    18629016
    School
    Department of Spatial Sciences
    Remarks

    The final publication is available at www.degruyter.com

    URI
    http://hdl.handle.net/20.500.11937/6291
    Collection
    • Curtin Research Publications
    Abstract

    This study presents validation of BeiDou measurements in un-differenced standalone mode and experimental results of its application for real data. A reparameterized form of the unknowns in a geometry-free observation model was used. Observations from each satellite are independently screened using a local modeling approach. Main advantages include that there is no need for computation of inter-system biases and no satellite navigation information are needed. Validation of the triple-frequency BeiDou data was performed in static and kinematic modes, the former at two continuously operating reference stations in Australia using data that span two consecutive days and the later in a walking mode for three hours. The uses of the validation method parameters for numerical and graphical diagnostics of the multi-frequency BeiDou observations are discussed. The precision of the system’s observations was estimated using an empirical method that utilizes the characteristics of the validation statistics. The capability of the proposed method is demonstrated in detection and identification of artificial errors inserted in the static BeiDou data and when implemented in a single point positioning processing of the kinematic test.

    Related items

    Showing items related by title, author, creator and subject.

    • Advanced receiver autonomous integrity monitoring using triple frequency data with a focus on treatment of biases
      El-Mowafy, Ahmed (2016)
      Most current Advanced Receiver Autonomous Integrity Monitoring (ARAIM) methods are designed to use dual-frequency ionosphere-free observations. These methods assume that receiver bias is absorbed in the common receiver ...
    • ARAIM Using GPS, GLONASS and BeiDou
      El-Mowafy, Ahmed (2014)
      An Advanced Receiver Autonomous Integrity Monitoring (ARAIM) approach is applied using observations from the three GNSS systems GPS, GLONASS and BeiDou. Emphasis in this multi-constellation GNSS ARAIM is on meeting ...
    • ARAIM for Vertical Guidance Using GPS and BeiDou
      El-Mowafy, Ahmed (2013)
      An advanced Receiver Autonomous Integrity Monitoring (ARAIM) approach is investigated when augmenting GPS satellites with the current regional BeiDou constellation. A procedure for integrity monitoring, including checking ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.