Performance Analysis of CUDA-Based Galileo Signal Quality Monitoring

The aim of this study was to develop basic findings for a continuous Signal Quality Monitoring system based on a measurement campaign. Four Galileo satellites were repeatedly recorded, using a dish antenna, and their metrics were analyzed. Due to the stable course, thresholds for the detection of threat models can be determined. These values were tested against simulated signals and the sensitivity of the detection was found to be satisfactory. Based on the convergence behavior of the data, a measurement duration of 180–200 s can be recommended. Finally, the influence of the GPU and memory clock on the performance of predefined conditions close to the receiver was tested. The core clock of the GPU was identified as the bottleneck of the processing.

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Publication Details

Published
2025-05-15
DOI
https://doi.org/10.3390/engproc2025088054
Citations
1
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
4.99
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article

Performance Analysis of CUDA-Based Galileo Signal Quality Monitoring

Thomas Pany, D. Bauer, Florian P. C. Binder, Torben Schüler
1 citations
GNSS positioning and interference
4.99
article

Performance Analysis of CUDA-Based Galileo Signal Quality Monitoring

Thomas Pany, D. Bauer, Florian P. C. Binder, Torben Schüler
article en
1 citations

Abstract

The aim of this study was to develop basic findings for a continuous Signal Quality Monitoring system based on a measurement campaign. Four Galileo satellites were repeatedly recorded, using a dish antenna, and their metrics were analyzed. Due to the stable course, thresholds for the detection of threat models can be determined. These values were tested against simulated signals and the sensitivity of the detection was found to be satisfactory. Based on the convergence behavior of the data, a measurement duration of 180–200 s can be recommended. Finally, the influence of the GPU and memory clock on the performance of predefined conditions close to the receiver was tested. The core clock of the GPU was identified as the bottleneck of the processing.

Universität der Bundeswehr München (DE), Federal Agency for Cartography and Geodesy (DE)
Openalex Percentile: Top 6%
GNSS positioning and interference
4.99
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Performance Analysis of CUDA-Based Galileo Signal Quality Monitoring — Thomas Pany, D. Bauer, et al. · (2025) | TGRS Research Map | TGRS