Repeatability test method of GNSS for safe train localisation in real and simulated environments

Lu, Debiao; Spiegel, Dirk; Becker, Ulrik; Cai, Bin; Wang, Jian; Liu, Jiang; Li, Xuan

doi:10.1109/plans.2016.7479762

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…In fact, the ISO 5725 [49] defines the repeatability limit as the value less than, or equal to which the absolute difference between two test results, obtained under the repeatability conditions, may be expected to be, with a probability of 95%. For measurements aimed at train localization by GNSS or hybridized-GNSS receivers, the experiment could be made twofold: static measurements at fixed antenna location, and dynamic measurements along a pre-defined railway track [50], with uncertainty expressed according to the GUM.…”

Section: Test-bed With Gnss Visibility Conditions: Gnss and 5gmentioning

confidence: 99%

Hybridized-GNSS Approaches to Train Positioning: Challenges and Open Issues on Uncertainty

Spinsante

Stallo

2020

Sensors

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In recent years, the development of advanced systems and applications has propelled the adoption of autonomous railway traffic and train positioning, with several ongoing initiatives and experimental testbeds aimed at proving the suitability and reliability of the Global Navigation Satellite System signals and services, in this specific application domain. To satisfy the strict safety and accuracy requirements aimed at assuring the position solution’s integrity, availability, accuracy and reliability, recent proposals suggest the hybridization of the Global Navigation Satellite System with other technologies. The integration with localization techniques that are expected to be available with the upcoming fifth generation mobile communication networks is among the most promising approaches. In this work, different approaches to the design of hybrid positioning solutions for the railway sector are examined, under the perspective of the uncertainty evaluation of the attained results and performance. In fact, the way the uncertainty associated to the positioning measurements performed by different studies is reported is often not consistent with the Guide to the Expression of Uncertainty in Measurement, and this makes it very difficult to fairly compare the different approaches in order to identify the best emerging solution. Under this perspective, the review provided by this work highlights a number of open issues that should drive future research activities in this field.

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Section: Test-bed With Gnss Visibility Conditions: Gnss and 5gmentioning

confidence: 99%

Hybridized-GNSS Approaches to Train Positioning: Challenges and Open Issues on Uncertainty

Spinsante

Stallo

2020

Sensors

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“…To assess the positioning errors in a real acquisition scenario, multiple positioning measurements should be performed while the radar platform repeats exactly the same trajectory over multiple passes [23], [24]. Since a sufficiently accurate repetition of the sensor trajectory is unfeasible with a carborne, UAV-borne, or airborne system, we performed a controlled repeat-pass experiment with the L-band SAR mounted on a rail and additionally equipped with a navigation-grade INS/GNSS system [25].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact of Positioning Errors in Car-Borne Repeat-Pass SAR Interferometry With a Controlled Rail-Based Experiment

Coscione¹,

Hajnsek²,

Werner

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Agile synthetic aperture radar (SAR) platforms such as car-borne and UAV-borne SAR systems require combined inertial navigation systems (INS) and global navigation satellite systems (GNSS) to measure the radar sensor trajectories used for focusing and interferometric processing. Measurement inaccuracies from INS/GNSS systems lead to residual phase errors in the SAR products whose minimisation is crucial to derive accurate topographic and deformation information. In this work, we analyse the impact of residual positioning errors on carborne repeat-pass SAR interferometry at L-band for different INS/GNSS measurement configurations and for the typical carborne acquisition geometry. The positioning errors are evaluated both during single SAR acquisitions with long integration times and between different acquisitions as a function of the distance of the radar platform from the GNSS reference stations. We show the reduction of interferometric phase errors achievable by additionally using a GNSS receiver mounted in the vicinity of the SAR platform as compared to remote reference stations of the national network of permanent GNSS receivers. Test results obtained in a controlled setup with a rail-based SAR system equipped with a navigation-grade INS/GNSS system show maximum repeat-pass trajectory errors on the order of 1-2 cm using a local GNSS reference station and up to 10-15 cm using the remote reference stations, leading to azimuth and range phase trends in the interferometric products.

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Issues on Uncertainty to Train Positioning in Hybridized-GNSS Approaches

Spinsante

Stallo

2019

2019 IEEE 5th International Workshop on Metrology for AeroSpace (MetroAeroSpace)

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Repeatability test method of GNSS for safe train localisation in real and simulated environments

Cited by 5 publications

References 2 publications

Hybridized-GNSS Approaches to Train Positioning: Challenges and Open Issues on Uncertainty

Hybridized-GNSS Approaches to Train Positioning: Challenges and Open Issues on Uncertainty

Assessing the Impact of Positioning Errors in Car-Borne Repeat-Pass SAR Interferometry With a Controlled Rail-Based Experiment

Issues on Uncertainty to Train Positioning in Hybridized-GNSS Approaches

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