Using tne ellipse propagation model for mobile location estimation

Junyang Znou, Kenneth Man Kin Chu, Joseph Kee Yin Ng

Research output: Contribution to journalJournal articlepeer-review

4 Citations (Scopus)


Mobile location estimation or mobile positioning is becoming an important service for a mobile phone network. Among different kinds of mobile location estimation technologies, only the class of the signal strength based algorithm which estimates the location of Mobile Stations (MSs) by the Received Signal Strength (RSS) can be applied to different kinds of radio cellular networks, and therefore, is more general. We have designed a directional propagation model-the Ellipse Propagation Model (EPM), which makes use of a common signal propagation model to perform a location estimation. EPM enhanced the traditional propagation model by resembling the contour line of the signal strength as an ellipse rather than a circle and hence becoming more realistic. We have tested EPM with real data taken in Hong Kong and it is proven that EPM outperforms other existing location estimation algorithms among different kinds of terrains.

Original languageEnglish
Pages (from-to)116-125
Number of pages10
JournalInternational Journal of Wireless and Mobile Computing
Issue number2
Publication statusPublished - 10 May 2010

Scopus Subject Areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Ellipse propagation model
  • EPM
  • Geometric algorithm
  • GSM network
  • Mobile location estimation
  • Received signal strength
  • RSS


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