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Ground Truth Generation Algorithm for Medium-Frequency R-Mode Skywave Detection | | Suhui Jeong
; Pyo-Woong Son
; | | Date: |
1 Sep 2023 | | Abstract: | With the advancement of transportation vehicles, the importance and utility
of navigation systems providing positioning, navigation, and timing (PNT)
information have been increasing. Global navigation satellite systems (GNSS)
are widely used navigation systems, but they are vulnerable to radio frequency
interference (RFI), resulting in disruptions of satellite navigation signals.
Recognizing this limitation, extensive research is being conducted on
alternative navigation systems. In the maritime industry, ongoing research
focuses on a groundbased integrated navigation system called R-Mode. R-Mode
utilizes medium frequency (MF) differential GNSS (DGNSS) and very
high-frequency data exchange system (VDES) signals as ranging signals for
positioning and incorporates the existing ground-based navigation system known
as enhanced long-range navigation (eLoran). However, MF R-Mode, which uses MF
DGNSS signals for positioning, exhibits significant performance differences
between daytime and nighttime due to skywave interference caused by signals
reflecting off the ionosphere. In this study, we propose a skywave ground truth
generation algorithm that is crucial for studying mitigation methods for MF
R-Mode skywave interference. Furthermore, we demonstrate the proposed algorithm
using field-test data. | | Source: | arXiv, 2309.00234 | | Services: | Forum | Review | PDF | Favorites | |
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