• DocumentCode
    1867156
  • Title

    Estimation of emitter power, location, and path loss exponent

  • Author

    Chan, Y.T. ; Lee, B.H. ; Inkol, R. ; Chan, Francois

  • Author_Institution
    Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, ON, Canada
  • fYear
    2012
  • fDate
    April 29 2012-May 2 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Received Signal Strength (RSS) localization has the advantage of simplicity over common schemes that use angle-of-arrival, time-of-arrival, and time-difference-of-arrival information. Signal power is relatively easy to measure with low cost and light weight equipment. The RSS at a receiver is a function of distance between an emitter and receiver, the reference power η0, and the path loss exponent α. In many applications, limited a priori knowledge of α and η0 is available. Since using inaccurate values of α and η0 in the localization equations can introduce bias errors in the position estimate, it is preferable to estimate α, η0 and emitter position together. This paper develops a new formulation that leads to a least squares solution for the joint estimation of α, η0 and emitter position. In the simulation example, the estimation errors are close to the theoretical lower bound.
  • Keywords
    direction-of-arrival estimation; least squares approximations; time-of-arrival estimation; angle-of-arrival information; emitter position; emitter power estimation; estimation errors; least squares solution; localization equations; path loss exponent; position estimate; received signal strength localization; signal power; theoretical lower bound; time-difference-of-arrival information; time-of-arrival information; Cognitive radio; Equations; Estimation error; Least squares approximation; Mathematical model; Receivers; Cramer-Rao bounds; Localization; maximum likelihood estimation; received signal strength;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
  • Conference_Location
    Montreal, QC
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4673-1431-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2012.6334891
  • Filename
    6334891