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A Fuzzy Logic-Based Weighting Model for GNSS Measurements from a Smartphone

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R3 in Geomatics: Research, Results and Review (R3GEO 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1246))

Abstract

GNSS navigation is critical in unfavourable scenarios, where the solution can be degraded by errors such as multipath reflections and weak geometries caused by obstacles surrounding the receiver. Nonetheless, the influence of the errors can be reduced defining an adequate quality measure for each signal and, consequently, using weights inversely related to the quality of the received signals. In this paper, a quality index, obtained from the fuzzy integration of various features of the received signals and leveraged to weight each measure in a Weighted Least Square (WLS) estimation process, is validated on measurements coming from a High Sensitivity receiver embedded in a smartphone. The main objective is to validate a fuzzy control designer provided by the authors in a previous work using raw data from a smartphone to compute the navigation solution and to extend its application to the multi-GNSS constellation case. The performance of the tested weighting strategy is evaluated in the position domain and in comparison with another weighting method. GNSS real data have been collected through a smartphone located in typical urban canyon environment, and processed in Single Point Positioning. Results show an evident enhancement obtained from the application of the fuzzy logic to obtain a proper weight to be assigned to GNSS observables reproducing a stochastic model similar to the reality.

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Acknowledgments

This research is supported by Italian Ministry of Education and Research funding basic research activities with FFABR (Fondo per il Finanziamento delle Attività Base di Ricerca) and is also included in the framework of the project DORA (Deployable Optics for Remote Sensing Applications). DORA is part of National Operational Program entitled “Research and Innovation 2014–2020”.

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Authors and Affiliations

  1. Department of Sciences and Technologies, Parthenope University of Naples, Naples, Italy

    Anna Innac, Salvatore Gaglione & Antonio Maratea

  2. G. Fortunato University, Benevento, Italy

    Antonio Angrisano

Authors
  1. Anna Innac
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  2. Antonio Angrisano
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  3. Salvatore Gaglione
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  4. Antonio Maratea
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Corresponding author

Correspondence to Anna Innac .

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Editors and Affiliations

  1. Parthenope University of Naples, Naples, Italy

    Claudio Parente

  2. Parthenope University of Naples, Naples, Italy

    Salvatore Troisi

  3. University of Padova, Padua, Italy

    Antonio Vettore

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Innac, A., Angrisano, A., Gaglione, S., Maratea, A. (2020). A Fuzzy Logic-Based Weighting Model for GNSS Measurements from a Smartphone. In: Parente, C., Troisi, S., Vettore, A. (eds) R3 in Geomatics: Research, Results and Review. R3GEO 2019. Communications in Computer and Information Science, vol 1246. Springer, Cham. https://doi.org/10.1007/978-3-030-62800-0_4

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  • DOI: https://doi.org/10.1007/978-3-030-62800-0_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62799-7

  • Online ISBN: 978-3-030-62800-0

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