Improving GNSS Positioning Accuracy through Adaptive Weighting and Multipath Isolation
Sebastiano CHIODINI, Andrea VALMORBIDA, Giovanni ANESE, Marco PERTILE, Giada GIORGI, Claudio NARDUZZI, Bortolino SAGGIN
Abstract. This work addresses the challenge of multipath interference in Global Navigation Satellite System (GNSS) positioning. An approach is proposed to improve accuracy through adaptive weighting strategies and multipath isolation techniques. Weighting methods based on elevation and carrier-to-noise ratio (C/N0) are employed, and this strategy is combined with a multipath detection technique using the Code-minus-carrier (CMC) rate of change. The method is tested using a Piksi Multi GNSS Module, with data processed using Standard Point Positioning (SPP) techniques. An 8-state filter based on a Position-Velocity (PV) model is implemented for dynamic state estimation. Experiments in static and dynamic scenarios demonstrate significant improvements in positioning accuracy.
Keywords
GNSS Positioning, Multipath Mitigation, Adaptive Weighting, Code-Minus-Carrier
Published online 7/20/2026, 6 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Sebastiano CHIODINI, Andrea VALMORBIDA, Giovanni ANESE, Marco PERTILE, Giada GIORGI, Claudio NARDUZZI, Bortolino SAGGIN, Improving GNSS Positioning Accuracy through Adaptive Weighting and Multipath Isolation, Materials Research Proceedings, Vol. 69, pp 42-47, 2026
DOI: https://doi.org/10.21741/9781644904251-8
The article was published as article 8 of the book CEAS – AIDAA Conference 2025
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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