Rank Based Fingerprinting Algorithm for Indoor Positioning

Juraj Machaj, Peter Brida, Robert Piche

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    119 Citations (Scopus)
    315 Downloads (Pure)

    Abstract

    This paper describes a novel RSS rank based fingerprinting algorithm for indoor positioning. Because RSS rank is invariant to bias and scaling, the algorithm provides the same accuracy for any receiver device, without the need for calibration. Similarity metrics to compare ranked vectors are introduced and their impact on positioning accuracy is investigated in experiments. Experimental results shown that the algorithm can achieve better accuracy than some commonly used fingerprinting algorithms.
    Translated title of the contributionRank Based Fingerprinting Algorithm for Indoor Positioning
    Original languageEnglish
    Title of host publication2011 International Conference on Indoor Positioning and Indoor Navigation IPIN, 21-23 September 2011, Guimarães, Portugal
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages1-6
    Number of pages6
    ISBN (Print)978-1-4577-1805-2
    DOIs
    Publication statusPublished - 2011
    Publication typeA4 Article in conference proceedings

    Publication series

    NameInternational Conference on Indoor Positioning and Indoor Navigation IPIN
    PublisherIEEE

    Publication forum classification

    • No publication forum level

    Fingerprint

    Dive into the research topics of 'Rank Based Fingerprinting Algorithm for Indoor Positioning'. Together they form a unique fingerprint.

    Cite this