Path-Based Correlation Analysis of Meteorological Factors and eLoran Signal Delay Variations

Fuente: arXiv
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Autores principales: Song, Junwoo, Son, Pyo-woong
Formato: Preprint
Publicado: 2025
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author Song, Junwoo
Son, Pyo-woong
author_facet Song, Junwoo
Son, Pyo-woong
contents Unlike GNSS, which is vulnerable to jamming and spoofing due to its inherently weak received power, eLoran exhibits robustness owing to its high field strength. Therefore, the eLoran system can maintain reliable operation even in scenarios where GNSS becomes unavailable. However, since eLoran signals propagate through ground waves, the propagation delay is susceptible to changes in surface conditions, including both terrain and meteorological variations. This study aims to analyze the correlation between the temporal variations in eLoran signal propagation delay and meteorological factors at various points along the signal path.
format Preprint
id arxiv_https___arxiv_org_abs_2509_26020
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Path-Based Correlation Analysis of Meteorological Factors and eLoran Signal Delay Variations
Song, Junwoo
Son, Pyo-woong
Signal Processing
Unlike GNSS, which is vulnerable to jamming and spoofing due to its inherently weak received power, eLoran exhibits robustness owing to its high field strength. Therefore, the eLoran system can maintain reliable operation even in scenarios where GNSS becomes unavailable. However, since eLoran signals propagate through ground waves, the propagation delay is susceptible to changes in surface conditions, including both terrain and meteorological variations. This study aims to analyze the correlation between the temporal variations in eLoran signal propagation delay and meteorological factors at various points along the signal path.
title Path-Based Correlation Analysis of Meteorological Factors and eLoran Signal Delay Variations
topic Signal Processing
url https://arxiv.org/abs/2509.26020