• DocumentCode
    3227911
  • Title

    Phase noise and carrier frequency offset in OFDM systems: Joint estimation and hybrid Cramér-Rao lower bound

  • Author

    Salim, Omar Hazim ; Nasir, Ali A. ; Mehrpouyan, Hani ; Wei Xiang

  • Author_Institution
    Fac. of Eng. & Surveying, Univ. of Southern Queensland, Toowoomba, QLD, Australia
  • fYear
    2013
  • fDate
    16-19 June 2013
  • Firstpage
    649
  • Lastpage
    653
  • Abstract
    In this paper, a new iterative pilot-aided algorithm based on expectation conditional maximization (ECM) for joint estimation of Wiener phase noise (PHN) and carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) systems is proposed. Next, a new expression for the hybrid Cramér-Rao lower bound (HCRB) for joint estimation of PHN and CFO in OFDM systems is derived. Numerical results show that the proposed estimator outperforms existing algorithms in terms of mean square error while performing close to the derived HCRB at moderate PHN variances. Moreover, the proposed estimator is found to be computationally more efficient than existing algorithms since it jointly estimates PHN and CFO in a few iterations.
  • Keywords
    OFDM modulation; expectation-maximisation algorithm; frequency estimation; mean square error methods; phase noise; ECM; HCRB; OFDM systems; PHN; Wiener phase noise; carrier frequency offset; expectation conditional maximization; hybrid Cramer-Rao lower bound; iterative pilot-aided algorithm; joint estimation; mean square error methods; orthogonal frequency division multiplexing; Estimation; Joints; OFDM; Phase noise; Signal processing algorithms; Signal to noise ratio; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications (SPAWC), 2013 IEEE 14th Workshop on
  • Conference_Location
    Darmstadt
  • ISSN
    1948-3244
  • Type

    conf

  • DOI
    10.1109/SPAWC.2013.6612130
  • Filename
    6612130