Location estimation via support vector regression

Zhi Li Wu*, Chun Hung Li, Joseph K Y NG, Karl R.P.H. Leung

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

159 Citations (Scopus)

Abstract

Location estimation using the Global System for Mobile communication (GSM) is an emerging application that infers the location of the mobile receiver from multiple signals measurements. While geometrical and signal propagation models have been deployed to tackle this estimation problem, the terrain factors and power fluctuations have confined the accuracy of such estimation. Using support vector regression, we investigate the missing value location estimation problem by providing theoretical and empirical analysis on existing and novel kernels. A novel synthetic experiment is designed to compare the performances of different location estimation approaches. The proposed support vector regression approach shows promising performances, especially in terrains with local variations in environmental factors.

Original languageEnglish
Pages (from-to)311-321
Number of pages11
JournalIEEE Transactions on Mobile Computing
Volume6
Issue number3
DOIs
Publication statusPublished - Mar 2007

Scopus Subject Areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Global system for mobile communication
  • Location estimation
  • Statistical estimation
  • Support vector regression

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