• DocumentCode
    248761
  • Title

    SNR estimation in a non-coherent MFSK receiver with diversity combining

  • Author

    Arshad, Abida ; Hassan, Syed Ali

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci. (SEECS), Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan
  • fYear
    2014
  • fDate
    4-8 Aug. 2014
  • Firstpage
    588
  • Lastpage
    593
  • Abstract
    In this paper, the problem of signal-to-noise ratio (SNR) estimator design for a single-input multiple-output (SIMO) communication system employing non-coherent M-ary frequency shift keying (NCMFSK) modulation scheme is considered. The transmitted signal undergoes Rayleigh fading and additive white Gaussian noise (AWGN) and is received at a receiver with L diversity branches. Closed-form expressions of data aided (DA) and non-data aided (NDA) estimators have been derived using the maximum likelihood (ML) estimation approach. Cramer-Rao bound has been evaluated to compare the performance of the designed estimators. The effect of increasing the receiver diversity branches on the performance of estimators has been quantified.
  • Keywords
    AWGN channels; Rayleigh channels; diversity reception; frequency shift keying; maximum likelihood estimation; radio receivers; AWGN; Cramer-Rao bound; Rayleigh fading; SNR estimation; additive white Gaussian noise; diversity combining; maximum likelihood estimation approach; noncoherent M-ary frequency shift keying modulation scheme; noncoherent MFSK receiver; nondata aided estimators; receiver diversity branches; signal-to-noise ratio estimator design; single-input multiple-output communication system; transmitted signal; Diversity reception; Fading; Maximum likelihood estimation; Receivers; Signal to noise ratio; Wireless sensor networks; Receiver Diversity Combining; SNR Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International
  • Conference_Location
    Nicosia
  • Print_ISBN
    978-1-4799-7324-8
  • Type

    conf

  • DOI
    10.1109/IWCMC.2014.6906422
  • Filename
    6906422