• DocumentCode
    2913530
  • Title

    SNR Estimation for a Non-Coherent M-FSK Receiver in a Slow Flat Fading Environment

  • Author

    Hassan, S.A. ; Ingram, M.A.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2010
  • fDate
    23-27 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Estimation of the signal-to-noise ratio (SNR) is considered for a non-coherent M-ary frequency shift keying (NC-MFSK) receiver. It has been assumed that the transmitted symbols undergo a slow flat fading channel where a block of data is corrupted by an independent constant fade and additive white Gaussian noise. Two approaches for SNR estimation are reported in this paper: an approximate maximum likelihood approach and another using the data statistics, both for data aided and non-data aided systems. It has been shown that for a particular SNR region of interest and depending upon the availability of pilot symbols, a particular approach is suitable for SNR estimation.
  • Keywords
    AWGN; fading channels; frequency shift keying; maximum likelihood estimation; radio receivers; additive white Gaussian noise; approximate maximum likelihood approach; data statistics; independent constant fade; noncoherent M-ary frequency shift keying receiver; signal-to-noise ratio estimation; slow flat fading channel; Additive white noise; Binary phase shift keying; Fading; Frequency estimation; Frequency shift keying; Gaussian noise; Maximum likelihood estimation; Signal to noise ratio; Statistics; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2010 IEEE International Conference on
  • Conference_Location
    Cape Town
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4244-6402-9
  • Type

    conf

  • DOI
    10.1109/ICC.2010.5502679
  • Filename
    5502679