• DocumentCode
    1647900
  • Title

    MMSE Noise Power and SNR Estimation for OFDM Systems

  • Author

    Yucek, T. ; Arslan, H.

  • Author_Institution
    Univ. of South Florida, Tampa
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes a minimum mean-square error (MMSE) filtering technique to estimate the noise power that takes into account the variation of the noise statistics across the orthogonal frequency division multiplexing (OFDM) sub-carrier index as well as across OFDM symbols. The proposed method provides many local estimates that allow tracking of the variation of the noise statistics in frequency and time. The MMSE filter coefficients are obtained from the mean-squared-error (MSE) expression, which can be calculated using the noise statistics. Evaluation of the performance with computer simulations shows that the proposed method tracks the local statistics of the noise more efficiently than conventional methods.
  • Keywords
    OFDM modulation; filtering theory; least mean squares methods; MMSE; OFDM systems; SNR estimation; mean-squared-error expression; minimum mean-square error filtering technique; noise power estimation; noise statistics; orthogonal frequency division multiplexing; Bandwidth; Channel estimation; Computer simulation; Error analysis; Filtering; Filters; Frequency estimation; OFDM modulation; Signal to noise ratio; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium, 2006 IEEE
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-0002-7
  • Type

    conf

  • DOI
    10.1109/SARNOF.2006.4534725
  • Filename
    4534725