Locating Mobile Stations with Statistical Directional Propagation Model

  • Authors:
  • Kenneth M. K. Chu;Karl R. P. H. Leung;Joseph Kee-Yin Ng;Chun Hung Li

  • Affiliations:
  • -;-;-;-

  • Venue:
  • AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
  • Year:
  • 2004

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Abstract

Recently, mobile location estimation is drawing considerableattention in the field of wireless communications.Among different mobile location estimation methods, theone which estimates the location of mobile stations with referenceto the wave propagation model is drawing much attention.This approach, in principle, makes use of the mostprimitive property of wave propagation - signal strength,to perform location estimation. Hence this approach shouldbe able to apply to different kinds of cellular network. Wefound out that in estimating mobile location with referenceto signal strength, the azimuth gain of directional antennaand environmental factors can help to improve the accuracy.In this paper, we report our study of a DirectionalPropagation Model (DPM) which enhanced the traditionalpropagation model with these factors. We experimented ourmodel with 3,703 sets of real life data collected from a majormobile phone operator of Hong Kong. Results show thatthe DPM models have significant improvement over otherexisting location methods in terms of accuracy and stability.