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

    A realistic and easy-to-implement weighting model for GNSS phase observations

    199487_199487a.pdf (2.415Mb)
    Access Status
    Open access
    Authors
    Luo, X.
    Mayer, M.
    Heck, B.
    Awange, Joseph
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Luo, X. and Mayer, M. and Heck, B. and Awange, J. 2014. A realistic and easy-to-implement weighting model for GNSS phase observations. IEEE Transactions on Geoscience and Remote Sensing. 52 (10): pp. 6110-6118.
    Source Title
    IEEE Transactions on Geoscience and Remote Sensing
    DOI
    10.1109/TGRS.2013.2294946
    ISSN
    01962892
    Remarks

    Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/35912
    Collection
    • Curtin Research Publications
    Abstract

    Observation weighting is an essential component of GPS stochastic modeling and plays a key role in reliable outlier detection and parameter estimation. Nowadays, satellite elevation angle and SNR are used as quality indicators for GPS phase measurements in high-accuracy geodetic applications. In comparison with elevation-dependent models, SNR-based weighting schemes represent the reality better, but usually require greater implementation efforts. Relying upon a representative analysis of empirical SNR-based weights, this paper proposes the elevation-dependent exponential weighting function EXPZ, which benefits from realistic SNR-based weights and enables easy software implementation. To process GPS data from a regional network, this advanced weighting scheme is implemented in the Bernese GPS Software 5.0 and is compared with the conventional elevation-dependent COSZ model in terms of phase ambiguity resolution, troposphere parameter (TRP) estimation, and site coordinate determination. The results show that the proposed EXPZ model significantly attenuates the downweighting effects on low-elevation observations and improves the success rates of ambiguity resolution by about 10%, the standard deviations of site-specific TRPs by about 40%, and the repeatability of daily coordinate estimates by up to 2.3 mm (50%).

    Related items

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

    • SBAS DFMC service for road transport: positioning and integrity monitoring with a new weighting model
      Wang, Kan ; El-Mowafy, Ahmed ; Rizos, Chris; Wang, Jinling (2021)
      In 2017, the new generation satellite-based augmentation system (SBAS) test-bed was initiated by Australia and New Zealand, which supports the dual-frequency multi-constellation (DFMC) positioning with both GPS and Galileo ...
    • Quasi-Continuous GPS Steep Slope Monitoring: A Multi-Antenna Array Approach
      Forward, Troy Andrew (2002)
      This thesis investigates the design, implementation and validation of a multi-antenna GPS system to monitor the displacement of deforming slopes. The system utilises a switched antenna array design allowing data from ...
    • Assessment of EGNOS Tropospheric Correction Model
      Penna, Nigel (2001)
      Within the implementation of the European Geo-stationary Navigation Overlay System(EGNOS),a significant residual error in positioning is due to tropospheric delay effects. The EGNOS guidelines recommend that tropospheric ...
    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.