Combining SAGE and LMS for Blind Multipath Mitigation in GNSS Receivers

Global Navigation Satellite Systems (GNSSs) face a difficult challenge when combating multipath reflections, since, due to their high correlation with the signal of interest, they pose a significant threat for GNSS receivers. The use of array processing techniques greatly helps receivers to combat these effects, typically exploiting available information for an effective mitigation. However, relying on external and possibly out-dated references might cause the receiver to perform poorly, and thus an approach that does not require any previously obtained parameters can significantly enhance the behaviour of the receiver. This paper presents a blind alternative to the reference-dependent existing techniques for multipath mitigation in GNSS receivers. Combining two well-known algorithms, SAGE and LMS, this approach allows to obtain large attenuation capacities while ensuring resilience and robustness against rapid changes in the operating environment.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/navitec63575.2024.10843541
Citations
1
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
1.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Combining SAGE and LMS for Blind Multipath Mitigation in GNSS Receivers

Noori BniLam, David Gómez-Casco, José A. López-Salcedo, Gonzalo Seco‐Granados et al.
1 citations
GNSS positioning and interference
1.30
article

Combining SAGE and LMS for Blind Multipath Mitigation in GNSS Receivers

Noori BniLam, David Gómez-Casco, José A. López-Salcedo, Gonzalo Seco‐Granados, Lucía Pallarés-Rodríguez, Paolo Crosta
article en
1 citations

Abstract

Global Navigation Satellite Systems (GNSSs) face a difficult challenge when combating multipath reflections, since, due to their high correlation with the signal of interest, they pose a significant threat for GNSS receivers. The use of array processing techniques greatly helps receivers to combat these effects, typically exploiting available information for an effective mitigation. However, relying on external and possibly out-dated references might cause the receiver to perform poorly, and thus an approach that does not require any previously obtained parameters can significantly enhance the behaviour of the receiver. This paper presents a blind alternative to the reference-dependent existing techniques for multipath mitigation in GNSS receivers. Combining two well-known algorithms, SAGE and LMS, this approach allows to obtain large attenuation capacities while ensuring resilience and robustness against rapid changes in the operating environment.

European Space Research and Technology Centre (NL)
European Space Agency
Climate action
Openalex Percentile: Top 11%
GNSS positioning and interference
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.