Correlation Analysis Between MF R-Mode Temporal ASF and Meteorological Factors
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912566363553792 |
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| author | Park, Jongmin Song, Junwoo Kang, Taewon Yu, Jaewon Son, Pyo-Woong |
| author_facet | Park, Jongmin Song, Junwoo Kang, Taewon Yu, Jaewon Son, Pyo-Woong |
| contents | As the vulnerabilities of global navigation satellite systems (GNSS) have become more widely recognized, the need for complementary navigation systems has grown. Medium frequency ranging mode (MF R-Mode) has gained attention as an effective backup system during GNSS outages, owing to its strong signal strength and cost-effective scalability. However, to achieve accurate positioning, MF R-Mode requires correction for the additional secondary factor (ASF), a propagation delay affected by terrain. The temporal variation of ASF, known as temporal ASF, is typically corrected using reference stations; however, the effectiveness of this method decreases with distance from the reference station. In this study, we analyzed the correlation between temporal ASF and meteorological factors to evaluate the feasibility of predicting temporal ASF based on meteorological factors. Among these factors, temperature and humidity showed significant correlations with temporal ASF, suggesting their potential utility in ASF correction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_01958 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Correlation Analysis Between MF R-Mode Temporal ASF and Meteorological Factors Park, Jongmin Song, Junwoo Kang, Taewon Yu, Jaewon Son, Pyo-Woong Signal Processing As the vulnerabilities of global navigation satellite systems (GNSS) have become more widely recognized, the need for complementary navigation systems has grown. Medium frequency ranging mode (MF R-Mode) has gained attention as an effective backup system during GNSS outages, owing to its strong signal strength and cost-effective scalability. However, to achieve accurate positioning, MF R-Mode requires correction for the additional secondary factor (ASF), a propagation delay affected by terrain. The temporal variation of ASF, known as temporal ASF, is typically corrected using reference stations; however, the effectiveness of this method decreases with distance from the reference station. In this study, we analyzed the correlation between temporal ASF and meteorological factors to evaluate the feasibility of predicting temporal ASF based on meteorological factors. Among these factors, temperature and humidity showed significant correlations with temporal ASF, suggesting their potential utility in ASF correction. |
| title | Correlation Analysis Between MF R-Mode Temporal ASF and Meteorological Factors |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2509.01958 |