Analysis of High-Accuracy Satellite Messages for Road Applications

Fernández‐Hernández, Ignacio; Senni, Tommaso; Calle, D.; Cancela, Simon; Vecchione, Giovanni; Seco‐Granados, Gonzalo

doi:10.1109/mits.2020.2994074

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…Thus, one aims at finding a reduced number of ambiguities which guarantee certain target positioning precision criteria α for the fixed position solution, while retaining a sufficiently low failure rate P f 0 . Notice that the precision requirement α refers to the minimal positioning precision required by a particular application (e.g., automobile lane detection may require decimeter-level precision [41], while vessel mooring assistance might entail a precision of a few centimeters [42]).…”

Section: Precision-driven Par Schemementioning

confidence: 99%

Precision-Aided Partial Ambiguity Resolution Scheme for Instantaneous RTK Positioning

et al. 2021

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The use of carrier phase data is the main driver for high-precision Global Navigation Satellite Systems (GNSS) positioning solutions, such as Real-Time Kinematic (RTK). However, carrier phase observations are ambiguous by an unknown number of cycles, and their use in RTK relies on the process of mapping real-valued ambiguities to integer ones, so-called Integer Ambiguity Resolution (IAR). The main goal of IAR is to enhance the position solution by virtue of its correlation with the estimated integer ambiguities. With the deployment of new GNSS constellations and frequencies, a large number of observations is available. While this is generally positive, positioning in medium and long baselines is challenging due to the atmospheric residuals. In this context, the process of solving the complete set of ambiguities, so-called Full Ambiguity Resolution (FAR), is limiting and may lead to a decreased availability of precise positioning. Alternatively, Partial Ambiguity Resolution (PAR) relaxes the condition of estimating the complete vector of ambiguities and, instead, finds a subset of them to maximize the availability. This article reviews the state-of-the-art PAR schemes, addresses the analytical performance of a PAR estimator following a generalization of the Cramér–Rao Bound (CRB) for the RTK problem, and introduces Precision-Driven PAR (PD-PAR). The latter constitutes a new PAR scheme which employs the formal precision of the (potentially fixed) positioning solution as selection criteria for the subset of ambiguities to fix. Numerical simulations are used to showcase the performance of conventional FAR and FAR approaches, and the proposed PD-PAR against the generalized CRB associated with PAR problems. Real-data experimental analysis for a medium baseline complements the synthetic scenario. The results demonstrate that (i) the generalization for the RTK CRB constitutes a valid lower bound to assess the asymptotic behavior of PAR estimators, and (ii) the proposed PD-PAR technique outperforms existing FAR and PAR solutions as a non-recursive estimator for medium and long baselines.

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Section: Precision-driven Par Schemementioning

confidence: 99%

Precision-Aided Partial Ambiguity Resolution Scheme for Instantaneous RTK Positioning

et al. 2021

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“…Additional field tests on the Galileo HAS were performed, and considered open-sky, urban and suburban scenarios. Moreover, in this case, which is described in [9], only mid-latitude conditions and relatively short datasets were considered.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Galileo E6B Data Demodulation Performance at High Latitudes: A Norwegian Vessel Case Study

et al. 2021

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The Galileo High Accuracy Service (HAS) is currently in its testing phase, in which actual corrections are transmitted along with standard dummy messages. The dissemination of Precise Point Positioning (PPP) corrections is performed using an innovative scheme based on a Reed–Solomon code, which allows the reconstruction of the original navigation message from a subset of received pages. This approach introduces robustness to the reception process and aims at reducing the Time-to-Retrieve Data (TTRD); that is, the time to retrieve the HAS message. This study investigated the HAS demodulation performance considering Galileo signals collected at high latitudes. In particular, a Galileo E6-capable receiver was mounted on a vessel sailing from Bergen to Kirkenes, Norway, and reaching up to 71 degrees North. The trajectory of the vessel was at the border of the Galileo HAS service area and high-latitudes impact reception conditions, potentially leading to poor satellite geometries. Three months of data from January to March 2021 were analyzed, considering several metrics including Bit Error Rate (BER), Page Error Rate (PER), and TTRD. The analysis shows that the Reed–Solomon scheme adopted for data dissemination is also effective at high-latitudes, with daily PER below one percent and mean TTRD in the order of eight seconds when three satellites are broadcasting valid HAS corrections. Lower values of the TTRD are achieved with an increased number of satellites. These values are significantly lower than the update rate of the corrections broadcast by the Galileo HAS.

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Cooperative Estimation of Local Atmospheric Delay in Precise Point Positioning with GNSS

Uwineza

Farrell

2022

2022 IEEE Conference on Control Technology and Applications (CCTA)

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Analysis of High-Accuracy Satellite Messages for Road Applications

Cited by 6 publications

References 14 publications

Precision-Aided Partial Ambiguity Resolution Scheme for Instantaneous RTK Positioning

Precision-Aided Partial Ambiguity Resolution Scheme for Instantaneous RTK Positioning

Assessment of Galileo E6B Data Demodulation Performance at High Latitudes: A Norwegian Vessel Case Study

Cooperative Estimation of Local Atmospheric Delay in Precise Point Positioning with GNSS

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