• DocumentCode
    2338301
  • Title

    Pairwise Error Probability Analysis for Power Delay Profile Fingerprinting Based Localization

  • Author

    Öktem, Turgut ; Slock, Dirk

  • Author_Institution
    Mobile Commun. Dept., EURECOM, Sophia Antipolis, France
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Although most of the conventional localization algorithms rely on LOS conditions, it is possible to do positioning with Power Delay Profile-Fingerprinting (PDP-F) in multipath and even in NLOS environments. Many algorithms for position fingerprinting have been developed, but analytical investigation in this area is still not matured yet. In this paper we aim to find the pairwise error probability (PEP) for PDP-F based localization systems. The objective is to see the performance of PDP-F algorithms under different cost functions and also under different path amplitude assumptions. By PEP, what is meant is the same as in the PEP analysis in digital communication channels. Hence the approach is similar for PDP-F. However its analysis is not as straightforward as it is for the digital communication channel case. We investigate and show the results for least squares (LS) based algorithm under deterministic path amplitude modeling and Gaussian Maximum Likelihood (GML) based algorithm for the Rayleigh fading modeling of the path amplitudes.
  • Keywords
    Gaussian channels; Global Positioning System; Rayleigh channels; digital communication; error statistics; least squares approximations; maximum likelihood estimation; Gaussian maximum likelihood based algorithm; PDP-F based localization system; Rayleigh fading channel modeling; cost functions; deterministic path amplitude modeling; digital communication channels; least squares based algorithm; pairwise error probability analysis; path amplitude assumptions; position fingerprinting algorithm; power delay profile fingerprinting based localization; Channel estimation; Databases; Delay; Equations; Handheld computers; Mathematical model; Random variables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd
  • Conference_Location
    Yokohama
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4244-8332-7
  • Type

    conf

  • DOI
    10.1109/VETECS.2011.5956780
  • Filename
    5956780