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

    Integer aperture GNSS ambiguity resolution

    186126_ArtificialSatellites-2003-IntegerApertureEstimation.pdf (159.1Kb)
    Access Status
    Open access
    Authors
    Teunissen, Peter
    Date
    2003
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Teunissen, P.J.G. 2003. Integer aperture GNSS ambiguity resolution. Artificial Satellites. 38 (3): pp. 79-88.
    Source Title
    Artificial Satellites
    ISSN
    0208841X
    URI
    http://hdl.handle.net/20.500.11937/27352
    Collection
    • Curtin Research Publications
    Abstract

    GNSS carrier phase ambiguity resolution is the key to fast and high-precision satellite positioning and navigation. It applies to a great variety of current and future models of GPS, modernized GPS and Galileo. In (Teunissen, 1998, 1999) we introduced the class of admissible integer (I) estimators and showed that the integer least-squares estimator is the optimal ambiguity estimator within this class. In (Teunissen, 2002a, b) we introduced the class of integer equivariant (IE) estimators and determined the best ambiguity estimator within this class. This best integer equivariant estimator is unbiased and of minimum variance. In the present contribution we will introduce a third class of ambiguity estimators. This class of integer aperture (IA) estimators is larger than the I-class, but smaller than the IE-class. The IA-estimator is of a hybrid nature since its outcome may be integer-valued or real-valued. We also give a probabilistic description of IA-estimators. This is needed in order to be able to propagate the inherent uncertainty in the data rigorously and to give a proper probabilistic evaluation of the final result. The framework of IA-estimation also incorporates the important problem of ambiguity discernibility. By setting the size and shape of the integer aperture pull-in region of an IA-estimator, the user has control over the fail-rate of the estimator and thus also over the amount of discernibility.

    Related items

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

    • Towards a unified theory of GNSS ambiguity resolution
      Teunissen, Peter (2003)
      Abstract. In this invited contribution a brief review will be presented of the integer estimation theory as developed by the author over the last decade and which started with the introduction of the LAMBDA method in 1993. ...
    • Penalized GNSS Ambiguity Resolution
      Teunissen, Peter (2004)
      Global Navigation Satellite System (GNSS) carrier phase ambiguity resolution is the process of resolving the carrier phase ambiguities as integers. It is the key to fast and high precision GNSS positioning and it applies ...
    • A new classs of GNSS ambiguity estimators.
      Teunissen, Peter (2002)
      In Teunissen (1999) we introduced the class of admissible integer estimators. Members from this class are defined by their so-called pull-in regions. These pull-in regions satisfy the following three conditions. They are ...
    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.