• DocumentCode
    180570
  • Title

    Short preamble-based estimation of highly frequency selective channels in FBMC/OQAM

  • Author

    Kofidis, E.

  • Author_Institution
    Dept. of Stat. & Insurance Sci., Univ. of Piraeus, Piraeus, Greece
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    8058
  • Lastpage
    8062
  • Abstract
    Channel estimation in multicarrier systems employing filter banks with offset quadrature amplitude modulation (FBMC/OQAM) is known to face challenges related to the interference effect intrinsic to these systems. Most of the methods reported thus far rely on the assumption of (almost) flat subchannels - implying a low frequency selective channel - to more easily tackle this problem. Others, more recent ones, relax this assumption but they either depend on a model for the channel or they concentrate on per-subchannel estimation and often require long training sequences. This paper revisits this problem by proposing a method that makes no assumption on the channel frequency selectivity, while using a very short preamble for training. The latter is optimized with respect to the channel estimation mean squared error. The superiority of the proposed method over classical ones is demonstrated via simulation results for both mildly and highly frequency selective channels.
  • Keywords
    channel bank filters; channel estimation; mean square error methods; quadrature amplitude modulation; radiofrequency interference; FBMC-OQAM; channel estimation; channel frequency selectivity; filter bank-based multicarrier; flat subchannels; frequency selective channels; interference effect; long training sequences; mean squared error; offset quadrature amplitude modulation; short preamble-based estimation; Channel estimation; Estimation; Filter banks; Frequency estimation; OFDM; Signal to noise ratio; Training; Channel estimation; filter bank multicarrier; intrinsic interference; offset quadrature amplitude modulation; orthogonal frequency division multiplexing; preamble;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6855170
  • Filename
    6855170