Director of Research (if dissertation) or Advisor (if thesis)
Kravets, Robin H
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
localization
wireless localization
relative localization
Abstract
Wireless localization performed using least squares absolute trilateration requires collecting data about the environment and is greatly affected by noise. This paper presents a novel
approach to wireless localization by relating signal strength measurements from anchors to
each other. Relative wireless localization outperforms absolute trilateration in multiple environments with varying amounts of noise. Relative localization does this while removing
the requirement for environmental pretraining.
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