A single-base-station localization approach using a statistical model of the NLOS propagation conditions in urban terrain

Evgeny Tsalolikhin, Igal Bilik, Nathan Blaunstein

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Implementation of the Federal Communications Commission's (FCC) E-911 Phase-2 requirements and commercial location-based services in urban environments requires mobile station (MS) localization capabilities in non-line-of-sight (NLOS) propagation conditions. This work addresses the problem of MS localization in urban environments characterized by the NLOS propagation conditions and limited Global Positioning System (GPS) services. We propose a single-base-station-based localization approach that uses a statistical model of urban propagation conditions in the framework of target classification. The proposed localization approach involves no data collection during the training process, requires no modifications of the MS hardware, is not location specific, and requires no identification and mitigation of the NLOS conditions. The performance of the proposed localization approach was evaluated using collected and ray-traced measurements.

Original languageEnglish
Article number5708185
Pages (from-to)1124-1137
Number of pages14
JournalIEEE Transactions on Vehicular Technology
Volume60
Issue number3
DOIs
StatePublished - 1 Mar 2011

Keywords

  • Enhanced 911 (E-911)
  • location-based services (LBSs)
  • mobile station (MS) localization
  • non-line-of-sight (NLOS) propagation conditions
  • single-base-station-based localization
  • stochastic propagation model

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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