Predicting C/N0 as a Key Parameter for Network RTK Integrity Prediction in Urban Environments

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Authors

  • Ali Karimidoona
  • Steffen Schön

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Details

Original languageEnglish
Article number4850
JournalRemote sensing
Volume15
Issue number19
Publication statusPublished - 7 Oct 2023

Abstract

Autonomuous transportation systems require navigation performance with a high level of integrity. As Global Navigation Satellite System (GNSS) real-time kinematic (RTK) solutions are needed to ensure lane level accuracy of the whole system, these solutions should be trustworthy, which is often not the case in urban environments. Thus, the prediction of integrity for specific routes or trajectories is of interest. The carrier-to-noise density ratio (C/N (Formula presented.)) reported by the GNSS receiver offers important insights into the signal quality, the carrier phase availability and subsequently the RTK solution integrity. The ultimate goal of this research is to investigate the predictability of the GNSS signal strength. Using a ray-tracing algorithm together with known satellite positions and 3D building models, not only the satellite visibility but also the GNSS signal propagation conditions at waypoints along an intended route are computed. Including antenna gain, free-space propagation as well as reflection and diffraction at surfaces and vegetation, the predicted C/N (Formula presented.) is compared to that recorded by an Septentrio Altus receiver during an experiment in an urban environment in Hannover. Although the actual gain pattern of the receiving antenna was unknown, good agreements were found with small offsets between measured and predicted C/N (Formula presented.).

Keywords

    GNSS, integrity monitoring, network RTK, urban navigation

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Predicting C/N0 as a Key Parameter for Network RTK Integrity Prediction in Urban Environments. / Karimidoona, Ali; Schön, Steffen.
In: Remote sensing, Vol. 15, No. 19, 4850, 07.10.2023.

Research output: Contribution to journalArticleResearchpeer review

Karimidoona A, Schön S. Predicting C/N0 as a Key Parameter for Network RTK Integrity Prediction in Urban Environments. Remote sensing. 2023 Oct 7;15(19):4850. doi: 10.3390/rs15194850
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abstract = "Autonomuous transportation systems require navigation performance with a high level of integrity. As Global Navigation Satellite System (GNSS) real-time kinematic (RTK) solutions are needed to ensure lane level accuracy of the whole system, these solutions should be trustworthy, which is often not the case in urban environments. Thus, the prediction of integrity for specific routes or trajectories is of interest. The carrier-to-noise density ratio (C/N (Formula presented.)) reported by the GNSS receiver offers important insights into the signal quality, the carrier phase availability and subsequently the RTK solution integrity. The ultimate goal of this research is to investigate the predictability of the GNSS signal strength. Using a ray-tracing algorithm together with known satellite positions and 3D building models, not only the satellite visibility but also the GNSS signal propagation conditions at waypoints along an intended route are computed. Including antenna gain, free-space propagation as well as reflection and diffraction at surfaces and vegetation, the predicted C/N (Formula presented.) is compared to that recorded by an Septentrio Altus receiver during an experiment in an urban environment in Hannover. Although the actual gain pattern of the receiving antenna was unknown, good agreements were found with small offsets between measured and predicted C/N (Formula presented.).",
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