• DocumentCode
    2779998
  • Title

    A Pilot-Aided Frequency Offset Estimation Algorithm for OFDMA Uplink Systems

  • Author

    Lee, Kilbom ; Moon, Sung-Hyun ; Lee, Inkyu

  • Author_Institution
    Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    3-6 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we propose a pilot aided carrier frequency offset (CFO) estimation algorithm for orthogonal frequency division multiplexing access (OFDMA) uplink systems based on two consecutive received OFDMA symbols. Assuming that the channels and the CFOs are static over the two consecutive symbols, we express the second received OFDMA symbol in terms of the CFOs and the first OFDMA symbol. Based on this signal model, a new estimation algorithm which obtains the CFOs by minimizing the mean square distance between the received OFDMA symbol and its regenerated signal is provided. The simulation results show that the proposed algorithm approaches the average Cramer Rao bound for moderate and high signal to noise ratio regions. Moreover, the algorithm can be applied for any carrier assignment schemes.
  • Keywords
    OFDM modulation; frequency division multiple access; frequency estimation; CFO estimation algorithm; OFDMA uplink systems; average Cramer Rao bound; carrier assignment schemes; consecutive received OFDMA symbols; mean square distance; orthogonal frequency division multiplexing access uplink systems; pilot-aided frequency offset estimation algorithm; regenerated signal; signal model; signal-to-noise ratio regions; Bit error rate; Computational complexity; Estimation; OFDM; Signal to noise ratio; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2012 IEEE
  • Conference_Location
    Quebec City, QC
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4673-1880-8
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VTCFall.2012.6398887
  • Filename
    6398887