Data-Driven Approach to Satellite Selection in Multi-Constellation GNSS Receivers

Tero Soininen, Paula Syrjärinne, Simo Ali-Löytty, Christoph Schmid

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    1 Citation (Scopus)
    45 Downloads (Pure)


    In this work we developed an algorithm for multi-constellation GNSS receivers that selects a limited subset of satellites out of the tracked ones with an optimized location accuracy. As the receivers often have very limited computational resources, the complexity of the algorithm needed to be kept low. The work began with an exploratory analysis of GNSS data. This analysis gave insight into the differences of the various satellite navigation systems as well as into the nature of the pseudorange residuals. These observations helped in shaping the algorithm that we proposed for the problem of satellite selection. The algorithm itself was developed using data science techniques to filter out bad pseudorange measurements and borrowed some earlier ideas to optimize the geometric dilution of precision of the solution set as well. The approach we chose was shown to work very well when applied to real data measured from road tests in varying surroundings. Even with practically non-existent parameter tuning the algorithm was able to spot almost 90 % of the bad pseudorange measurements, keeping the specificity, i.e., ability to hold on to the good measurements at over 90 % level. The ability to filter out bad pseudo range measurements translated to improved location accuracy as well. All in all, the results achieved in this work proved encouraging enough to begin implementing the algorithm in actual receiver software to study the performance of the data-driven approach in action.

    Original languageEnglish
    Title of host publicationICL-GNSS 2018 - 2018 8th International Conference on Localization and GNSS
    Subtitle of host publicationSeamless Indoor-Outdoor Localization, Proceedings
    Number of pages6
    ISBN (Print)9781538669846
    Publication statusPublished - 20 Aug 2018
    Publication typeA4 Article in conference proceedings
    EventInternational Conference on Localization and GNSS - Guimaraes, Portugal
    Duration: 26 Jun 201828 Jun 2018

    Publication series

    ISSN (Print)2325-0771


    ConferenceInternational Conference on Localization and GNSS

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Aerospace Engineering


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