Empirical Modeling of Variance in Medium Frequency R-Mode Time-of-Arrival Measurements
- Authors
- Yu, Jaewon; Son, Pyo-Woong
- Issue Date
- 10월-2023
- Publisher
- IEEE Computer Society
- Keywords
- Medium-frequency (MF) R-Mode system; time-of-arrival (TOA) measurements; variance modeling
- Citation
- International Conference on Control, Automation and Systems, pp 1787 - 1790
- Pages
- 4
- Journal Title
- International Conference on Control, Automation and Systems
- Start Page
- 1787
- End Page
- 1790
- URI
- https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/10359
- DOI
- 10.23919/ICCAS59377.2023.10317014
- ISSN
- 1598-7833
- Abstract
- The R-Mode system, an advanced terrestrial integrated navigation system, is designed to address the vulner-abilities of global navigation satellite systems (GNSS) and explore the potential of a complementary navigation system. This study aims to enhance the accuracy of performance simulation for the medium frequency (MF) R-Mode system by modeling the variance of time-of-arrival (TOA) measurements based on actual data. Drawing inspiration from the method used to calculate the standard deviation of time-of-reception (TOR) measurements in Loran, we adapted and applied this approach to the MF R-Mode system. Data were collected from transmitters in Palmi and Chungju, South Korea, and the parameters for modeling the variance of TOA were estimated. ? 2023 ICROS.
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