• DocumentCode
    3246666
  • Title

    Moment-Based SNR Estimation for SIMO Wireless Communication Systems Using Arbitrary QAM

  • Author

    Stéphenne, Alex ; Bellili, Faouzi ; Affes, Sofiéne

  • Author_Institution
    NRS-EMT, Montreal
  • fYear
    2007
  • fDate
    4-7 Nov. 2007
  • Firstpage
    601
  • Lastpage
    605
  • Abstract
    A new method for signal-to-noise ratio (SNR) estimation is considered when multiple receiving antenna elements receive quadrature amplitude modulation (QAM) signals in complex additive white Gaussian noise (AWGN) spatially and temporally white (uncorrelated between antenna elements). In this paper, we also present the extension of other existing methods to the single input multiple output (SIMO) configuration. The procedure is non-data-aided (NDA) since it is a moment- based method and does not require, therefore, the a priori knowledge or the detection of the transmitted symbols. Monte Carlo simulations are used to estimate the normalized root mean square error (NRMSE) as a measure of performance. The new method is shown to outperform the best NDA moment-based SNR estimation methods, namely the M2M4 and Gao´s methods even when they are extended to the SIMO configuration.
  • Keywords
    AWGN; Monte Carlo methods; mean square error methods; multifrequency antennas; quadrature amplitude modulation; radio networks; Gaos methods; Monte Carlo simulations; SIMO wireless communication systems; additive white gaussian noise; arbitrary QAM; moment-based SNR estimation; multiple receiving antenna elements; quadrature amplitude modulation; root mean square error; signal to noise ratio; single input multiple output configuration; AWGN; Additive white noise; Amplitude estimation; Antenna accessories; Antennas and propagation; Gaussian noise; Quadrature amplitude modulation; Receiving antennas; Signal to noise ratio; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2109-1
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2007.4487284
  • Filename
    4487284