System simulation of a localization system based on power level detection with distributed antennas

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • A. T. Ott - , Technical University of Munich (Author)
  • M. Shalaby - , Technical University of Munich (Author)
  • U. Siart - , Technical University of Munich (Author)
  • R. Brem - , Technical University of Munich (Author)
  • T. F. Eibert - , Technical University of Munich (Author)
  • J. Engelbrecht - , Chair of Transport Systems Information Technology (Author)
  • R. Collmann - , TUD Dresden University of Technology (Author)

Abstract

Estimation of the transmitter position based on the received signal strength (RSS) appears to be an attractive approach for indoor applications. However, strong power level fluctuations within buildings decrease the accuracy and reliability considerably. In this paper we present an extensive study based on simulations by applying a distributed antenna system for localization purposes in indoor scenarios. The basic idea is to use power level detection determined from two access points attached to the cable heads of the system. This positioning approach has the advantage that only marginal additional hardware is required to implement the localization functionality. For planning purposes a complete system simulation tool has been developed to analyze the impact of different environments on the positioning accuracy. The simulation results were verified with measurements carried out with a developed antenna prototype.

Details

Original languageEnglish
Title of host publicationProceedings of the 5th European Conference on Antennas and Propagation, EUCAP 2011
Pages19-23
Number of pages5
Publication statusPublished - 2011
Peer-reviewedYes

Publication series

SeriesEuropean Conference on Antennas and Propagation, EuCAP

Conference

Title5th European Conference on Antennas and Propagation, EUCAP 2011
Duration10 - 15 April 2011
CityRome
CountryItaly

External IDs

ORCID /0000-0002-4860-6840/work/141544611