• DocumentCode
    686380
  • Title

    A novel parametric channel estimation approach for OFDM systems

  • Author

    Haobo Qing ; Yuanan Liu ; Gang Xie ; Kaiming Liu ; Fang Liu

  • Author_Institution
    Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2013
  • fDate
    22-24 Nov. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes a novel parametric channel estimation approach for orthogonal frequency-division multiplexing (OFDM) systems. The method is composed of two parts: estimation of channel parameters and estimation of channel coefficients. The exponentially embedded family (EEF) criterion is exploited to determine the number of channel paths as well as the multipath time delays. Based on these parameters, channel frequency responses are estimated. Additionally, our scheme is computational efficient due to the needless of eigenvalue decomposition (EVD) or the estimation of signal parameters by rotational invariance technique (ESPRIT). Simulations are provided to validate the performance of our algorithm from the perspectives of channel parameter error probability (CPEP) and mean square error (MSE).
  • Keywords
    OFDM modulation; channel estimation; delays; eigenvalues and eigenfunctions; error statistics; mean square error methods; OFDM systems; channel coefficients; channel frequency responses; channel parameter error probability; eigenvalue decomposition; exponentially embedded family criterion; mean square error; multipath time delays; orthogonal frequency division multiplexing; parametric channel estimation; rotational invariance technique; signal parameters estimation; Channel Estimation; Exponentially Embedded Family Criterion; Mean Square Error; OFDM;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Information and Network Security (ICINS 2013), 2013 International Conference on
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-729-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.2447
  • Filename
    6825996