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Publication Detail
Enhancing Conventional GNSS Positioning with 3D Mapping without Accurate Prior Knowledge
  • Publication Type:
  • Authors:
    Adjrad M, Groves PD
  • Publication date:
  • Name of conference:
    ION GNSS+ 2015
  • Conference place:
    Tampa, FL, USA
  • Conference start date:
  • Conference finish date:
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.
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