• DocumentCode
    2502963
  • Title

    Optimal Joint CFO and Channel Estimation in Quasi-Synchronized OFDM Systems

  • Author

    Chen, Jianwu ; Wu, Yik-Chung ; Ng, Tung-Sang

  • Author_Institution
    Univ. of Hong Kong, Hong Kong
  • fYear
    2007
  • fDate
    26-30 Nov. 2007
  • Firstpage
    2816
  • Lastpage
    2820
  • Abstract
    This paper addresses the problem of joint estimation of carrier frequency offset (CFO) and frequency-selective channel in quasi-synchronized orthogonal frequency division multiplexing (OFDM) systems. Two equivalent signal models with embedded timing ambiguity are introduced first, and then two joint CFO and channel estimators are derived from the Maximum Likelihood (ML) criterion. The first estimator obtained is a joint estimator for timing, CFO and channel, which needs a two dimension search for parameter estimation. The second estimator has a reduced complexity, but its performance slightly degrades compared with the first estimator due to more unknown parameters required to be estimated. We analyze and compare the MSE performance of the two estimators and find that when the number of subcarriers is large, the two estimators are equivalent.
  • Keywords
    OFDM modulation; channel estimation; frequency estimation; maximum likelihood estimation; mean square error methods; radio networks; CFO; MSE; carrier frequency offset; channel estimation; maximum likelihood criterion; orthogonal frequency division multiplexing; parameter estimation; quasisynchronized OFDM systems; timing; Channel estimation; Degradation; Frequency estimation; Frequency synchronization; Maximum likelihood estimation; OFDM; Performance analysis; Robustness; Timing; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1042-2
  • Electronic_ISBN
    978-1-4244-1043-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2007.533
  • Filename
    4411443