• DocumentCode
    1891481
  • Title

    Wireless device identification in MIMO channels

  • Author

    Liu, Ming-Wei ; Doherty, John F.

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA
  • fYear
    2009
  • fDate
    18-20 March 2009
  • Firstpage
    563
  • Lastpage
    567
  • Abstract
    A data-aided iterative algorithm to estimate the nonlinearities of wireless emitters for specific emitter identification (SEI) is presented. To achieve robust estimation, inter symbol interference (ISI) is removed by iteratively estimating the channel coefficients and nonlinear transmit symbols to achieve asymptotically unbiased estimation. The complexity of the iteration procedure is further reduced by increasing the step size of the iteration result. The algorithm is applicable to various communication systems where multiple amplitude level schemes are used such as QAM, OFDM, and PAM in multiple-input multiple-output (MIMO) channels. Numerical results are shown which achieve nonlinearity estimation and radio emitter identification over empirical channel models using an orthogonal frequency division multiplexing (OFDM) MIMO system.
  • Keywords
    MIMO communication; OFDM modulation; intersymbol interference; iterative methods; MIMO channels; OFDM; PAM; QAM; channel coefficients; data-aided iterative algorithm; emitter identification; inter symbol interference; multiple-input multiple-output channels; nonlinear transmit symbols; nonlinearity estimation; orthogonal frequency division multiplexing; specific emitter identification; wireless device identification; wireless emitters; Iterative algorithms; MIMO; Nonlinear systems; OFDM; Object recognition; Pulse shaping methods; Radio frequency; Radiofrequency identification; Space vector pulse width modulation; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    978-1-4244-2733-8
  • Electronic_ISBN
    978-1-4244-2734-5
  • Type

    conf

  • DOI
    10.1109/CISS.2009.5054783
  • Filename
    5054783