Prediction and visualization of GPS multipath signals in urban areas using LiDAR Digital Surface Models and building footprints

  • Authors:

  • Jing Li;George Taylor;David Kidner;Mark Ware

  • Affiliations:

  • Department of Geography, University of Leicester, Leicester LE1 7RU, UK;GIS Research Unit, Faculty of Advanced Technology, University of Glamorgan, Pontypridd CF37 1DL, UK;GIS Research Unit, Faculty of Advanced Technology, University of Glamorgan, Pontypridd CF37 1DL, UK;GIS Research Unit, Faculty of Advanced Technology, University of Glamorgan, Pontypridd CF37 1DL, UK

  • Venue:
  • International Journal of Geographical Information Science
  • Year:
  • 2008

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Abstract

This paper explains a ray tracing method which is applied to prediction and visualization of diffracted and reflected GPS signals in dense urban areas. Reflected and diffracted signals can have a detrimental effect on GPS positioning accuracy especially in highly built-up areas. The ray tracing technique implemented in this paper is specially geared to LiDAR height pole data at 1-m spatial resolution and 2D building footprints in raster and vector format, respectively. Such a simple data format allows for rapid implementation of 3D ray tracing in a GIS without further processing so that detailed 3D urban models in vector format are not required. Issues of spatial uncertainty in the data used are also addressed in relation to the identification of multipath signals. Some preliminary results obtained from fieldwork are presented and analysed in detail.