실측치 보정 시뮬레이션 기반 개선된 eLoran 서비스 커버리지 예측
Improved eLoran Service Coverage Prediction Based on Field- Measurements-Corrected Simulation
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초록
To enhance the resilience of the national Positioning, Navigation, and Timing (PNT) infrastructure and address the vulnerabilities of satellite navigation systems, the Republic of Korea has initiated the deployment of the Enhanced Loran (eLoran) system, a terrestrial navigation technology led by the Ministry of Oceans and Fisheries (MOF). Currently, three eLoran transmitting stations are operational in Pohang, Gwangju, and Socheongdo, providing service coverage across the West Sea region. In parallel, differential reference stations (dLoran) have been installed at the ports of Incheon, Pyeongtaek, and Daesan, providing positioning accuracy within 20 meters for vessels. This paper presents a comparative analysis of eLoran service coverage based on both simulation-based predictions and field measurements collected from 26 locations nationwide. The analysis evaluates the signal strength (SS) and signal-to-noise ratio (SNR) of the eLoran transmissions. Furthermore, a regression model is developed using empirical data to improve the accuracy of coverage prediction. The results are expected to contribute to a clearer understanding of the current eLoran service area and provide a policy basis for future expansion of the system.
Abstract
To enhance the resilience of the national Positioning, Navigation, and Timing (PNT) infrastructure and address the vulnerabilities of satellite navigation systems, the Republic of Korea has initiated the deployment of the Enhanced Loran (eLoran) system, a terrestrial navigation technology led by the Ministry of Oceans and Fisheries (MOF). Currently, three eLoran transmitting stations are operational in Pohang, Gwangju, and Socheongdo, providing service coverage across the West Sea region. In parallel, differential reference stations (dLoran) have been installed at the ports of Incheon, Pyeongtaek, and Daesan, providing positioning accuracy within 20 meters for vessels. This paper presents a comparative analysis of eLoran service coverage based on both simulation-based predictions and field measurements collected from 26 locations nationwide. The analysis evaluates the signal strength (SS) and signal-to-noise ratio (SNR) of the eLoran transmissions. Furthermore, a regression model is developed using empirical data to improve the accuracy of coverage prediction. The results are expected to contribute to a clearer understanding of the current eLoran service area and provide a policy basis for future expansion of the system.