• DocumentCode
    81988
  • Title

    Uncensored Indoor Positioning

  • Author

    Mansour, Mohamed F. ; Waters, Deric W.

  • Author_Institution
    Embedded Syst. Lab., Texas Instrum. Inc., Dallas, TX, USA
  • Volume
    21
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    824
  • Lastpage
    828
  • Abstract
    We present a new method to accommodate the unobserved access points in indoor positioning systems that use the Received Signal Strength (RSS). We formulate a probabilistic framework, and derive the estimation bounds that quantify the advantage of incorporating unobserved data. Further, we describe a realization for the maximum-likelihood estimator and establish its effectiveness in a typical indoor positioning scenario.
  • Keywords
    indoor radio; maximum likelihood estimation; probability; radionavigation; RSS; estimation bounds; maximum-likelihood estimator; probabilistic framework; received signal strength; uncensored indoor positioning system; unobserved access points; Channel models; Cramer-Rao bounds; Databases; Maximum likelihood estimation; Sensitivity; Vectors; Cramer-Rao bound; estimation; localization; maximum-likelihood; sensitivity; unobserved data;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2317787
  • Filename
    6799243
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=81988