• DocumentCode
    3007245
  • Title

    A simple solution for the carrier frequency offset estimation for tile-based OFDMA uplink

  • Author

    Sun, Pengfei ; Zhang, Li

  • Author_Institution
    Sch. of Electron. & Electr. Eng., Univ. of Leeds, Leeds, UK
  • fYear
    2009
  • fDate
    8-10 Oct. 2009
  • Firstpage
    394
  • Lastpage
    397
  • Abstract
    This paper examines the challenging carrier frequency offset (CFO) estimation problem in the tile-based orthogonal frequency division multiple access (OFDMA) uplink systems. The existing solutions to this problem are either restricted to less flexible subcarrier assignments or too complex to implement in practice. This paper proposes simple iterative solutions with extremely low computational load, based on the repetitive structure of a tile-based training sequence. The proposed algorithm iteratively estimates the multiple CFOs and compensates the inter-carrier interference (ICI) and multi-user interference (MUI). The CFO estimation is conducted without the need of exhaustive search and requires significantly lower complexity compared to any other existing algorithms. The algorithm is modified to achieve further complexity reduction by performing the compensation based on a banded matrix. The proposed algorithms can be used with any subcarrier assignment schemes. The simulation results show that the proposed algorithms provides remarkable computational saving with their performance closely approaching the Cramer-Rao Bound (CRB).
  • Keywords
    estimation theory; frequency division multiple access; intercarrier interference; interference (signal); CRB; Cramer-Rao bound; carrier frequency offset estimation; flexible subcarrier assignments; intercarrier interference; multi-user interference; orthogonal frequency division multiple access uplink systems; tile-based OFDMA uplink; Frequency estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. APCC 2009. 15th Asia-Pacific Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4784-8
  • Electronic_ISBN
    978-1-4244-4785-5
  • Type

    conf

  • DOI
    10.1109/APCC.2009.5375608
  • Filename
    5375608