• DocumentCode
    3414298
  • Title

    Nonstationary multiple-antenna interference cancellation for unsynchronized OFDM systems with distributed training

  • Author

    Kuzminskiy, Alexandr M. ; Abramovich, Yuri I.

  • Author_Institution
    Bell Labs., Alcatel-Lucent, Swindon
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    2357
  • Lastpage
    2360
  • Abstract
    Adaptive interference cancellation is addressed in an orthogonal frequency division multiplexing (OFDM) system with a frame containing a number of temporally distributed pilot symbols, e.g., as in the IEEE 802.16-2004 standard. A nonstationary symbol-by-symbol switching technique based on banks of training-based and semi-blind estimators is analyzed by means of comparison with the conventional stationary pilot-based solution and with the nonasymptotic maximum likelihood benchmark especially developed for assessment of the proposed nonstationary interference cancellation algorithms.
  • Keywords
    OFDM modulation; WiMax; interference suppression; maximum likelihood estimation; adaptive interference cancellation; distributed training; nonasymptotic maximum likelihood benchmark; nonstationary multiple-antenna interference cancellation; nonstationary symbol-by-symbol switching technique; orthogonal frequency division multiplexing system; pilot symbols; semiblind estimators; stationary pilot-based solution; training-based estimators; unsynchronized OFDM systems; Algorithm design and analysis; Base stations; Cellular networks; Interference cancellation; Maximum likelihood estimation; OFDM; Radiofrequency interference; Training data; WiMAX; Wireless communication; Semi-blind second-order filtering; WiMAX; maximum likelihood benchmark; symbol-bysymbol switching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518120
  • Filename
    4518120