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    IRNSS/NavIC and GPS: a single- and dual-system L5 analysis

    249619.pdf (10.70Mb)
    Access Status
    Open access
    Authors
    Zaminpardaz, Safoora
    Teunissen, Peter
    Nadarajah, Nandakumaran
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Zaminpardaz, S. and Teunissen, P. and Nadarajah, N. 2017. IRNSS/NavIC and GPS: a single- and dual-system L5 analysis. Journal of Geodesy. 91 (8): pp. 915–931.
    Source Title
    Journal of Geodesy
    DOI
    10.1007/s00190-016-0996-4
    ISSN
    0949-7714
    School
    Department of Spatial Sciences
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/FF0883188
    Remarks

    The final publication is available at Springer via http://dx.doi.org/10.1007/s00190-016-0996-4

    URI
    http://hdl.handle.net/20.500.11937/50063
    Collection
    • Curtin Research Publications
    Abstract

    The Indian Regional Navigation Satellite System (IRNSS) has recently (May 2016) become fully operational. In this contribution, for the fully operational IRNSS as a stand-alone system and also in combination with GPS, we provide a first assessment of L5 integer ambiguity resolution and positioning performance. While our empirical analyses are based on the data collected by two JAVAD receivers at Curtin University, Perth, Australia, our formal analyses are carried out for various onshore locations within the IRNSS service area. We study the noise characteristics (carrier-to-noise density, measurement precision, time correlation), the integer ambiguity resolution performance (success rates and ambiguity dilution of precision), and the positioning performance (ambiguity float and ambiguity fixed). The results show that our empirical outcomes are consistent with their formal counterparts and that the GPS L5-data have a lower noise level than that of IRNSS L5-data, particularly in case of the code data. The underlying model in our assessments varies from stand-alone IRNSS (L5) to IRNSS (Formula presented.) GPS (L5), from unconstrained to height-constrained and from kinematic to static. Significant improvements in ambiguity resolution and positioning performance are achievable upon integrating L5-data of IRNSS with GPS.

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