• DocumentCode
    3156174
  • Title

    Diversity aspects of power delay profile based location fingerprinting

  • Author

    Slock, Dirk

  • Author_Institution
    Mobile Commun. Dept., EURECOM, Sophia Antipolis, France
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    2861
  • Lastpage
    2864
  • Abstract
    Although most of the conventional localization algorithms rely on Line of Sight (LOS) conditions, fingerprinting allows positioning in multipath and even in Non-LOS (NLOS) environments. In contrast to the traditional Received Signal Strength (RSS), the Power Delay Profile (PDP) fingerprint may allow positioning on the basis of a single link if the multipath is rich enough. Fingerprinting is a pattern matching technique for which a performance analysis may be difficult in general. In this paper we focus on a global performance indicator, in the form of Pairwise Error Probability (PEP). Similarly to PEP analysis in communication over fading channels, we find that the PEP for PDP fingerprinting exhibits a certain diversity order, linked to the number of paths. We investigate and show the results for Gaussian Maximum Likelihood (GML) based approaches for the Rayleigh fading path amplitude case.
  • Keywords
    Gaussian processes; Rayleigh channels; diversity reception; error statistics; maximum likelihood estimation; multipath channels; pattern matching; time-of-arrival estimation; GML based approach; Gaussian maximum likelihood based approach; LOS conditions; NLOS environments; PDP fingerprinting; PEP analysis; RSS; Rayleigh fading path amplitude; global performance indicator; line of sight conditions; localization algorithms; location fingerprinting; multipath positioning; nonLOS environments; pairwise error probability; pattern matching technique; performance analysis; power delay profile diversity; received signal strength; Channel estimation; Covariance matrix; Delay; Fading; Mobile communication; Signal to noise ratio; Vectors; Gaussian; Rayleigh; diversity; fingerprinting; least-squares; localization; maximum likelihood; pairwise error probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288514
  • Filename
    6288514