• DocumentCode
    1487349
  • Title

    Blind Carrier Frequency Offset Estimation for Interleaved OFDMA Uplink

  • Author

    Zhang, Weile ; Gao, Feifei ; Yin, Qinye ; Nallanathan, Arumugam

  • Author_Institution
    Minist. of Educ. Key Lab. for Intell. Networks & Network Security, Xi´´an Jiaotong Univ., Xi´´an, China
  • Volume
    60
  • Issue
    7
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    3616
  • Lastpage
    3627
  • Abstract
    In this paper, we develop two novel blind carrier frequency offset (CFO) estimators for interleaved orthogonal frequency division multiple access (OFDMA) uplink transmission in a multiantenna system. The first estimator is the subspace-based one and could blindly estimate multiple CFOs from a rank reduction approach. The second estimator is based on the maximum likelihood (ML) approach and improves the performance as compared to the first one. The higher computational complexity of the ML estimator is alleviated by the alternating projection (AP) method. Both the proposed estimators support fully loaded data transmissions, i.e., all subcarriers being occupied, which provides higher bandwidth efficiency as compared to the existing schemes. The numerical results are then provided to corroborate the proposed studies.
  • Keywords
    OFDM modulation; antenna arrays; blind equalisers; computational complexity; frequency division multiple access; frequency estimation; maximum likelihood estimation; ML approach; alternating projection method; blind carrier frequency offset estimation; computational complexity; interleaved OFDMA uplink; interleaved orthogonal frequency division multiple access; maximum likelihood approach; multiantenna system; rank reduction approach; uplink transmission; Educational institutions; Frequency conversion; Frequency estimation; Maximum likelihood estimation; OFDM; Receivers; Carrier frequency offsets (CFO); maximum likelihood (ML); orthogonal frequency division multiple access (OFDMA); subspace;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2012.2193572
  • Filename
    6179347