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Publication Detail
Kinematic GNSS Shadow Matching Using Particle Filters
  • Publication Type:
    Conference
  • Authors:
    Wang L
  • Publisher:
    The Institute of Navigation
  • Publication date:
    12/09/2014
  • Place of publication:
    Manassas, US
  • Pagination:
    1907, 1919
  • Published proceedings:
    Proceedings of the 27th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2014)
  • Status:
    Published
  • Name of conference:
    ION GNSS+ 2014
  • Conference place:
    Tampa, Florida
  • Conference start date:
    08/09/2014
  • Conference finish date:
    12/09/2014
Abstract
Student Paper Award Winner. The poor performance of GNSS user equipment in urban canyons is a well-known problem and is particularly inaccurate in the cross-street direction. However, the accuracy in this direction greatly affects many applications, including vehicle lane identification and high-accuracy pedestrian navigation. Shadow matching was proposed to help solve this problem by using information derived from 3D models of buildings. Though users of GNSS positioning typically move, previous research has focused on static shadow-matching positioning. In this paper, for the first time, kinematic shadow-matching positioning is tackled. Kalman filter based shadow matching is proposed and also, in order to overcome some of its predicted limitations, a particle filter is proposed to better solve the problem.
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