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Review Article | Open Access

Advancements in Multipath Mitigation for GNSS Receivers: Review of Channel Estimation Techniques

Pedro Miguel Coelho Pereira1( )Hélder David Malheiro da Silva2Carlos Manuel Gregório Santos Lima1
Center for Microelectromechanical Systems (CMEMS), University of Minho, Guimarães, Portugal
Algoritmi Centre, University of Minho, Guimarães, Portugal
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Abstract

Multipath interference poses substantial challenges to global navigation satellite system (GNSS) receivers, leading to inaccuracies in the time of arrival (TOA) measurement of the line of sight (LOS) signal. Therefore, to mitigate the impact of multipath on receivers, the problem has been approached at several system development stages—signal design, reception, and processing. While efforts and advancements have been achieved over the years at each stage seeking navigation robustness, this article focuses on the signal processing stage by presenting a review of advanced multipath mitigation techniques using adaptive channel parameter estimation at the correlation level. The multipath mitigation literature often resorts to optimistic assumptions—high signal-to-noise ratio (SNR), static multipath channel, single fading channel distribution, and so on—while in real-world scenarios noise is prominent, the number of paths and their states vary at different rates, channels are nonstationary, along with other nonideal conditions. Moreover, it is important to directly compare different techniques to characterize their applicability and limitations. An analysis of adaptive algorithms is conducted for multipath mitigation applications.

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Space: Science & Technology
Article number: 0278

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Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

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Cite this article:
Pereira PMC, da Silva HDM, Lima CMGS. Advancements in Multipath Mitigation for GNSS Receivers: Review of Channel Estimation Techniques. Space: Science & Technology, 2025, 5: 0278. https://doi.org/10.34133/space.0278

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Received: 26 February 2024
Revised: 13 December 2024
Accepted: 24 March 2025
Published: 06 May 2025
© 2025 Pedro Miguel Coelho Pereira et al. Exclusive licensee Beijing Institute of Technology Press. No claim to original U.S. Government Works.

Distributed under a Creative Commons Attribution License (CC BY 4.0).