A survey of mathematical methods for indoor localization

  • Seco F
  • Jiménez A
  • Prieto C
 et al. 
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Abstract

This document provides a survey of the mathemat- ical methods currently used for position estimation in indoor local positioning systems (LPS), particularly those based on radiofrequency signals. The techniques are grouped into four categories: geometry-based methods, minimization of the cost function, fingerprinting, and Bayesian techniques. Comments on the applicability, requirements, and immunity to nonline-of-sight (NLOS) propagation of the signals of each method are provided

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