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Enhancing Conventional GNSS Positioning with 3D Mapping without Accurate Prior Knowledge

Adjrad, M; Groves, PD; (2015) Enhancing Conventional GNSS Positioning with 3D Mapping without Accurate Prior Knowledge. In: Proceedings of the 28th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2015). (pp. pp. 2397-2409). The Institute of Navigation: Tampa, Florida, USA. Green open access

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Abstract

GNSS positioning performance in dense urban areas is severely degraded due to the obstruction and reflection of the signals by the surrounding buildings. A basic GNSS position solution can exhibit errors of tens of metres. This paper contributes towards the goal of real-time metres-level mobile positioning in outdoor urban environments by making use of spatial data in the form of 3D city models. We assess the extent to which the performance of height-aided conventional ranging-based GNSS positioning can be improved by finding the best way of determining which signals are non-line-of-sight (NLOS) or multipath contaminated. In contrast to previous approaches, we do not assume that the position is already known to within a few metres. Instead, we consider the case where the initial position, from a basic GNSS solution, is only accurate to within a few tens of metre. Therefore, which satellites are directly visible will vary across the search area. We thus use the 3D city model to predict the probability across the search area of each satellite signal being directly visible. Practical test results demonstrate improvement in the horizontal and vertical accuracy of conventional ranging-based GNSS positioning in urban areas by 58% and 78%, respectively.

Type: Proceedings paper
Title: Enhancing Conventional GNSS Positioning with 3D Mapping without Accurate Prior Knowledge
Event: ION GNSS+ 2015
Location: Tampa, FL, USA
Dates: 14 September 2015 - 18 September 2015
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.ion.org/publications/abstract.cfm?jp=p&...
Language: English
Additional information: Copyright © The Authors 2015.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1472567
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