A Context-Based Framework for Enhancing GNSS Performance and Security

Sara Baldoni, Federica Battisti, Marco Carli, Alessandro Neri

Abstract: Abstract—In recent years, we have witnessed a rapid increase in the number of applications of Global Navigation Satellite Systems, which have become the primary source for high-precision positioning and accurate timing. This trend led to two main effects: a strengthening of the performance requirements and an increase in the attempts of altering the estimation of the user’s position and timing information. To address both issues, in this paper we propose a context-based framework for enhancing the reliability, integrity, and availability of satellite-based positioning systems. It exploits the joint processing of information related to both local and distributed contexts. The distributed context represents the information that can be collected from a set of spatially distributed information sources. The local context, on the other hand, accounts for the environment surrounding the monitored system. In this work, the proposed framework is detailed and a proof-of-concept experimental validation is presented. Index Terms—GNSS, Spoofing, Availability, Integrity, Multisensor
Published in: 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)
April 24 - 27, 2023
Hyatt Regency Hotel
Monterey, CA
Pages: 729 - 739
Cite this article: Baldoni, Sara, Battisti, Federica, Carli, Marco, Neri, Alessandro, "A Context-Based Framework for Enhancing GNSS Performance and Security," 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterey, CA, April 2023, pp. 729-739. https://doi.org/10.1109/PLANS53410.2023.10140074
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