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    Fast Phase-Only Positioning with Triple-Frequency GPS

    273571.pdf (2.765Mb)
    Access Status
    Open access
    Authors
    Wang, Kan
    Chen, P.
    Teunissen, Peter
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Wang, K. and Chen, P. and Teunissen, P. 2018. Fast Phase-Only Positioning with Triple-Frequency GPS. Sensors. 18 (11): 3922.
    Source Title
    Sensors
    DOI
    10.3390/s18113922
    ISSN
    1424-8220
    School
    School of Earth and Planetary Sciences (EPS)
    URI
    http://hdl.handle.net/20.500.11937/72062
    Collection
    • Curtin Research Publications
    Abstract

    In this contribution, we study the phase-only ambiguity resolution and positioning performance of GPS for short baselines. It is well known that instantaneous (single-epoch) ambiguity resolution is possible when both phase and code (pseudorange) data are used. This requires, however, a benign multipath environment due to the severe effects multipath has on the code measurements. With phase-only processing, one would be free from such severe effects, be it that phase-only processing requires a change in receiver-satellite geometry, as a consequence of which it cannot be done instantaneously. It is thus of interest to know how much change in the relative receiver-satellite geometry is needed to achieve successful phase-only ambiguity resolution with correspondingly high precision baseline solutions. In this contribution, we study the two-epoch phase-only performance of single-, dual-, and triple-frequency GPS for varying time spans from 60 s down to 1 s. We demonstrate, empirically as well as formally, that fast phase-only very-precise positioning is indeed possible, and we explain the circumstances that make this possible. The formal analyses are also performed for a large area including Australia, a part of Asia, the Indian Ocean, and the Pacific Ocean. We remark that in this contribution "phase-only" refers to phase-only measurements in the observation model, while the code data are thus only used to compute the approximate values needed for linearizing the observation equations.

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