Publication detail

Improving GPS Reliability in Emergency Vehicles: A Case Study on Interference Source Identification

MAHÚT, M. JURÁŇ, R. MLÝNEK, P. MUSIL, P.

Original Title

Improving GPS Reliability in Emergency Vehicles: A Case Study on Interference Source Identification

Type

conference paper

Language

English

Original Abstract

This study examines the impact of non-intentional electromagnetic interference on the reliability of Global Positioning System (GPS) within emergency vehicles, particularly ambulances. GPS is crucial for navigation, coordination, and communication in emergency response scenarios. Interference from onboard electrical equipment poses significant challenges to GPS functionality. Using a spectral analyzer, the research focuses on the 1 - 2 GHz band, including GPS L1, L2, and L5 bands, to identify sources of interference. The results reveal that specific electronic systems within the vehicles emit interference at levels sufficient to degrade GPS performance. The findings emphasize the need for a comprehensive analysis of Electromagnetic Compatibility (EMC) standards and highlight the importance of addressing these interference issues to ensure reliable GPS functionality. This measurement observation contributes to enhancing GPS reliability in emergency response operations, ultimately improving public safety and operational efficiency.

Keywords

GPS interference, emergency vehicles, nonintentional electromagnetic interference, GPS jamming, spectral analysis, electromagnetic compatibility (EMC)

Authors

MAHÚT, M.; JURÁŇ, R.; MLÝNEK, P.; MUSIL, P.

Released

18. 10. 2024

Publisher

IEEE

Location

Demanovská dolina, Slovakia

ISBN

978-80-8040-636-3

Book

2024 New Trends in Signal Processing (NTSP)

Pages from

1

Pages to

5

Pages count

5

URL

https://doi.org/10.1109/NTSP49686.2020.9229534

BibTex

@inproceedings{BUT193501,
  author="Michal {Mahút} and Radovan {Juráň} and Petr {Mlýnek} and Petr {Musil}",
  title="Improving GPS Reliability in Emergency Vehicles: A Case Study on Interference Source Identification",
  booktitle="2024 New Trends in Signal Processing (NTSP)",
  year="2024",
  pages="1--5",
  publisher="IEEE",
  address="Demanovská dolina, Slovakia",
  doi="10.23919/NTSP61680.2024.10726307",
  isbn="978-80-8040-636-3",
  url="https://doi.org/10.1109/NTSP49686.2020.9229534"
}