Architecture for MF Beacon R-Mode
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박상현 | - |
dc.contributor.author | 한영훈 | - |
dc.contributor.author | 손표웅 | - |
dc.date.accessioned | 2021-12-08T08:40:59Z | - |
dc.date.available | 2021-12-08T08:40:59Z | - |
dc.date.issued | 20191025 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/2574 | - |
dc.description.abstract | South Korea has been under lots of GNSS jamming attacks since 2010. We knew that GNSS was vulnerable to radio interference, and that it could cause GNSS radio disruption in an easy-to-hand manner. But we've been overlooking the vulnerability of GNSS for a long time. And if there is still a GNSS jamming attack, we do not have any PNT service to solve it. For this reason, the Republic of Korea is interested in eLoran and R-Mode as a backup PNT system to respond to any GNSS interference. As you are familiar with, R-Mode allows radio resources that were previously being used as maritime communication to be used as radio resources that can be used to measure distances, ranging, such as Loran-C. Current R-Mode-enabled offshore communication resources are MF (Medium Frequency) in the 300kHz band used for DGPS/DGLONASS service and VHF (Very High Frequency) in the 160MHz band used as AIS and VDES. Given that Korea has abundant communication resources that are subject to R-Mode, we expect that R-Mode along with the LORAN-C infrastructure will play an important role as part of the terrestrial radio navigation system for maritime safety in Korea. This study proposed an architecture for MF beacon R-Mode. Finally, in this paper, we explained the R-Mode technology development plan of Korea. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | Architecture for MF Beacon R-Mode | - |
dc.title.alternative | Architecture for MF Beacon R-Mode | - |
dc.type | Conference | - |
dc.citation.title | AI-MAST 2019 | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 1 | - |
dc.citation.conferenceName | AI-MAST 2019 | - |
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