Adding angle of arrival modality to basic RSS location management techniques

Eiman Elnahrawy, John Austen-Francisco, Richard P. Martin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

42 Scopus citations

Abstract

In this paper we describe a radio-based localization approach that is based on the use of rotating directional antennas and a Bayesian network that combines both angle-of-arrival (AoA) and Received Signal Strength (RSS). After describing our network, we extensively characterize the accuracy of our approach under a variety of measured signal distortion types. Next, using a combination of synthetic and trace-driven experiments, we show the impact of different signal distortions on localization performance. We found the use of directional antennas was effective at averaging out multi-path effects in indoor environments, which helped reduce the amount of training data required compared to previous approaches.

Original languageEnglish (US)
Title of host publication2007 2nd International Symposium on Wireless Pervasive Computing
Pages464-469
Number of pages6
DOIs
StatePublished - 2007
Event2007 2nd International Symposium on Wireless Pervasive Computing - San Juan, PR, United States
Duration: Feb 5 2007Feb 7 2007

Publication series

Name2007 2nd International Symposium on Wireless Pervasive Computing

Other

Other2007 2nd International Symposium on Wireless Pervasive Computing
Country/TerritoryUnited States
CitySan Juan, PR
Period2/5/072/7/07

All Science Journal Classification (ASJC) codes

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

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