• DocumentCode
    3202723
  • Title

    Front-end estimation of Noise Power and SNR in OFDM systems

  • Author

    Manzoor, Rana Shahid ; Majavu, Wabo ; Jeoti, Varun ; Kamel, Nidal ; Asif, Muhammad

  • Author_Institution
    Electr. & Electron. Eng. Dept., Univ. Teknol. Petronas, Tronoh
  • fYear
    2007
  • fDate
    25-28 Nov. 2007
  • Firstpage
    435
  • Lastpage
    439
  • Abstract
    In this paper a front-end noise power and SNR estimation method based on one OFDM preamble is proposed and compared with previously published SNR estimators - none of which are front-end estimator. The estimator makes use of two identical halves property of time synchronization preamble used in OFDM systems and relies on autocorrelation of the same. The current estimator is compared with two existing SNR estimators, the Reddy estimator and Subspace based estimator in terms of normalized mean square error (NMSE) and estimated SNR. It is observed that current estimator gives SNR estimates better than Reddy and subspace estimators. The estimator performs SNR estimation at front-end of the receiver unlike all other estimators which perform SNR estimation at back-end of the receiver.
  • Keywords
    OFDM modulation; channel estimation; mean square error methods; noise; NMSE; OFDM systems; Reddy estimator; SNR estimation method; front-end noise power estimation method; normalized mean square error; orthogonal frequency division multiplexing; signal-to-noise; subspace based estimator; time synchronization preamble; AWGN; Additive white noise; Autocorrelation; Estimation error; Frequency estimation; Gaussian noise; Intelligent systems; Modulation coding; OFDM modulation; Signal to noise ratio; Noise power estimator; OFDM; SNR estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-1355-3
  • Electronic_ISBN
    978-1-4244-1356-0
  • Type

    conf

  • DOI
    10.1109/ICIAS.2007.4658424
  • Filename
    4658424