Synchronization of R-Mode Base Stations

Rieck, Carsten; Gewies, Stefan; Grundhöfer, Lars; Hoppe, Michael

doi:10.1109/ifcs-isaf41089.2020.9234840

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…That is why R-Mode project assumption was to use the correlation technique, which utilizes the pseudorandom ranging sequence to utilize all signal energy for ranging improvement [2]. Importance of correct synchronization of base stations is studied in paper [13]. Another approach to obtain the time of arrival values proposes timestamp detection of GMSK signal using the differential peak detection and zerocrossing detection in cooperation with rather sophisticated Orthogonal Matching Pursuit (OMP) algorithm [5].…”

Section: Trilaterationmentioning

confidence: 99%

AIS R-Mode Trilateration for GPS Positioning and Timing Insurance

Shishkin,

Konovets,

Koshevyy

2024

TransNav

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Section: Trilaterationmentioning

confidence: 99%

AIS R-Mode Trilateration for GPS Positioning and Timing Insurance

Shishkin,

Konovets,

Koshevyy

2024

TransNav

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“…Due to the strong signal in the near-field of the station, inter-channel interference is expected to be the major contributor and a high SNR is expected. This setup was designed as a technical demonstration of system-time synchronisation between different stations [28]. Therefore, we only consider the first 5 min of observation in every hour in this paper, which should be sufficient to show short-term influences due to the modulation.…”

Section: Real-world Testmentioning

confidence: 99%

Phase Estimation of Single Tones Next to Modulated Signals in the Medium Frequency R-Mode System

et al. 2022

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Position, navigation, and timing information are critical to today's infrastructures; as a result, the possibility of estimating ranges is being explored in more and more radio systems. One way to achieve this is to extend the modulation with time-synchronised aiding carriers and to estimate their phase at the receiver side. In this paper, we present two ways to minimise the negative influence of the modulation on the phase estimation. We show that the classical maximum likelihood estimator is still an efficient estimator for our problem, using a medium-frequency R-Mode signal as an example, and is therefore used in receiver designs. We then describe two possible ways to precondition the signal to increase the accuracy for short observations. As a first approach, we describe how window functions can positively change the signal-tonoise ratio for our estimation. As a second approach, we show the use of a narrowband bandpass filter. Finally, we show that these approaches, applied to real measurements, improve the variance of the estimate by up to two orders of magnitude.

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“…Consequently, the timing accuracy has to stay at least in the order of the targeted positioning respectively ranging accuracy divided by the speed of light. For achieving a positioning accuracy in the order of 10 m, 10-ns root mean square (RMS) for mutual timing errors between BSs have been budgeted in Rieck et al 27 Also in Rieck et al, 27 several options for providing sufficiently accurate synchronization and timing for VDES R-Mode are discussed, where the authors conclude that a self-synchronization approach, using R-Mode signals in the MF or VHF bands in combination with sufficiently stable local clocks, has the potential to make R-Mode a self-contained alternative positioning system for GNSS.…”

Section: Synchronization and Timing In Vdes R-modementioning

confidence: 99%

VDES R‐Mode performance analysis and experimental results

Wirsing

Dammann

Raulefs

2021

Satell Commun Network

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Summary Global Navigation Satellite Systems (GNSS) have become an essential part of maritime navigation, in particular to improve situational awareness and vessel traffic management. The dependence on GNSS creates vulnerability for maritime shipping. Driven by this vulnerability, the desire for a backup system for maritime navigation has been emerging. The VHF Data Exchange System (VDES) standard provides communication capabilities for maritime applications. VDES is currently being revised. As part of this revision, VDES will be extended by ranging and navigation functionalities, called R‐Mode, as an alternative for maritime navigation. In this paper, we address system design aspects and evaluate the positioning performance of VDES R‐Mode. We derive estimation theory bounds on the accuracy of VDES R‐Mode distance and velocity. In a case study, we discuss and evaluate the benefit of satellite links to complement VDES R‐Mode positioning. Furthermore, we introduce a Kalman filter for position and velocity tracking, which we apply to experimental data. We describe an experiment we conducted at Lake Ammer, southwest of Munich, and evaluate the VDES R‐Mode positioning performance for this setup. Our experimental results show that VDES R‐Mode is capable of achieving a 95th‐percentile horizontal position error of 22 m. Thus, VDES R‐Mode is a promising approach for a maritime backup system that can meet the IALA accuracy requirements.

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Synchronization of R-Mode Base Stations

Cited by 5 publications

References 4 publications

AIS R-Mode Trilateration for GPS Positioning and Timing Insurance

AIS R-Mode Trilateration for GPS Positioning and Timing Insurance

Phase Estimation of Single Tones Next to Modulated Signals in the Medium Frequency R-Mode System

VDES R‐Mode performance analysis and experimental results

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