• DocumentCode
    3085948
  • Title

    Asynchronous SNR estimation of PSK/QAM modulated signals in flat-fading channels

  • Author

    Headley, William C. ; Silva, Claudio R C M da

  • Author_Institution
    Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • fYear
    2009
  • fDate
    18-21 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The majority of prior work in signal-to-noise ratio estimation makes fairly strong assumptions concerning a priori knowledge of the channel state and signal. For instance, many of these estimators assume knowledge of the modulation scheme of the signal, or even complete knowledge of the transmitted set of modulated data symbols (typically through the use of training sequences). Even more universally, perfect time synchronization between the transmitter and receiver is assumed. The purpose of this paper is to remove some of these commonly stated assumptions through the presentation of a novel asynchronous, noncoherent, and non-data-aided method-of-moments based signal-to-noise ratio estimator for PSK/QAM modulated signals in flat-fading channels. This estimator requires no a priori knowledge of the channel gain, phase, and delay, nor the specific modulation scheme (PSK or QAM) and modulation order used.
  • Keywords
    channel estimation; fading channels; method of moments; phase shift keying; quadrature amplitude modulation; signal detection; PSK/QAM modulated signals; SNR estimation; asynchronous signal-to-noise ratio estimation; channel state; flat fading channels; method-of-moments based estimator; modulated data symbol; Cognitive radio; Delay estimation; Phase estimation; Phase modulation; Phase shift keying; Pulse modulation; Quadrature amplitude modulation; Radio transmitters; Signal to noise ratio; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 2009. MILCOM 2009. IEEE
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-5238-5
  • Electronic_ISBN
    978-1-4244-5239-2
  • Type

    conf

  • DOI
    10.1109/MILCOM.2009.5379976
  • Filename
    5379976