• DocumentCode
    2380031
  • Title

    Carrier frequency offsets estimation for uplink OFDMA systems using enhanced PSO and multiple access interference cancellation

  • Author

    Tan, Tan-Hsu ; Huang, Yung-Fa ; Hsu, Ling-Cheng ; Lin, Kuan-Ren

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    1436
  • Lastpage
    1441
  • Abstract
    Carrier frequency offset (CFO) is a major factor that degrades performance of the orthogonal frequency division multiplexing (OFDM) system. For orthogonal frequency division multiple access (OFDMA) uplink systems, there are multiple CFOs need to be estimated simultaneously, which is a very challenging task. Particle swarm optimization (PSO) algorithm has been recognized a potential approach for CFOs estimation. However, its performance deteriorates as the number of users increases due to insufficient particles diversity. To overcome this difficulty, an enhanced PSO called MRPSO is proposed to increase particles diversity by employing mutation and repulsive operations. Furthermore, a least square (LS) scheme is adopted to improve the estimated CFOs. Simulation results indicate that the proposed MRPSO attains best BER and MSE performances in CFOs estimation as compared to other PSO-based schemes.
  • Keywords
    OFDM modulation; error statistics; frequency division multiple access; least squares approximations; mean square error methods; particle swarm optimisation; MRPSO; carrier frequency offset estimation; enhanced PSO algorithm; least square scheme; multiple access interference cancellation; orthogonal frequency division multiplexing system; particle swarm optimization algorithm; uplink OFDMA systems; Bit error rate; Convergence; Diversity reception; Estimation; Frequency conversion; OFDM; Particle swarm optimization; Carrier frequency offset (CFO) multiple access interference (MAI); Least square (LS); Orthogonal frequency division multiple access (OFDMA); Particle swarm optimization (PSO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6083872
  • Filename
    6083872