Appl. Sci. 2023, 13, 1872
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Secondly, during the night, a reflection of the transmitted signal at the E-layer of the
ionosphere comes into effect, which causes a degradation of the R-Mode performance due
to the interference with the ground-wave at the receiver site. The sky-wave interference
was modeled in the paper and analyzed with respect to the impact on the received signal
amplitude phase and the phase error compared to the ground-wave. This model enabled
the calculation of the maximum error that can be expected during sky-wave conditions. In
‘he future, this model could also be used to calculate the expected sky-wave impact, taking
into account the statistics of the expected sky-wave amplitudes and delays.
The third challenge is some features of the R-Mode signals that can be observed in the
transmissions from different stations, which seem to have a technical cause. They appear as
jumps in the phase by several meters from one second to the next, which makes it possible
to detect them. For now, the affected signals are not used.
The performance of the MF R-Mode system in the testbed area close to Rostock was
presented in terms of horizontal positioning and timing accuracy. We demonstrated that
good accuracy can be achieved during the day, whereas the problem of the sky-wave
multipath degrades system performance at night. In this contribution, we have been able
to confirm that the R-Mode could be a suitable backup system for the maritime domain.
In particular, the 95% horizontal accuracy achieved was 15.1m for 6h during the day
and 55.3m for 4h at night. In both cases, the accuracy requirement of 100m for coastal
navigation was met over the time slots considered.
Furthermore, we found that at night, no sky-wave disturbance is visible for a distance
of up to 62 km. For distances of 210 km to 270 km, the composition of the propagation
path is important. On a nearly complete over-sea path, the sky wave has a low impact.
Ihe R-Mode signal shows a low degradation. For propagation half over sea and half over
‚and, the standard deviation error increased by a factor of 2.6. In the future, this knowledge
could be used to design an adaptive filter for weighting the different measurements in
the positioning algorithm at night to provide measurements with an expected higher
probability of the sky-wave with less weight.
In general, predicting the effect of the sky-wave can be very challenging due to its
dependency on solar activity. Different performance levels might be experienced by the
users on different days, during different seasons or at different times of the day. Therefore,
the correct modelling of the sky-wave interference effect on phase estimation may be an
interesting area of research, given the large number of parameters to be considered in the
model itself. For the moment, a working solution is to detect the sky-wave by a stronger
variation of the signal amplitude and reduce the service range at night.
Finally, the study of interference mitigation strategies may be an important point of
the investigation for the future in order to improve the MF R-Mode system performance
at night.
Author Contributions: Conceptualization, FG.R., L.G. and S5.G.; Methodology, F.G.R., L.G. and
5.G.; Software, F.G.R., L.G. and S.G.; Validation, FG.R.; Formal analysis, F.G.R., L.G. and 5.G.;
Investigation, F.G.R.; Data curation, F.G.R., L.G. and 5.G.; Writing—original draft, F.G.R., L.G.,
5.G. and T.E.; Writing—review & editing, F.G.R., L.G., 5.G. and T.E.; Visualization, F.G.R.; Project
administration, 5.G.; Funding acquisition, 5.G. All authors have read and agreed to the published
version of the manuscript.
Funding: This research received no external funding
Institutional Review Board Statement: Not applicable.
Informed Consent Statement: Not applicable.
Data Availability Statement: Not applicable.
Acknowledgments: This research was conducted within the framework of the R-Mode Baltic project,
which aims to set up the first combined MF and VDES R-Mode testbed in the southern Baltic Sea and
demonstrate that the R-Mode fulfils the maritime user requirements. The authors thank the entire
R-Mode Baltic project team. Furthermore, the authors thank the European Union for co-financing the