• DocumentCode
    2121142
  • Title

    A Particle Filter for Frequency Synchronization in MIMO-OFDM Systems

  • Author

    Zhang Jing ; Luo Han-wen ; Jin Rong-hong

  • Author_Institution
    Dept. Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A particle filter algorithm is investigated to perform joint estimation of carrier frequency offset (CFO) and channel in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) wireless communication systems. The filter marginalizes out the channel parameters from the sampling space in sequential importance sampling, and propagates them with the Kalman filter. Then the importance weights of CFO particles are evaluated according to the imaginary part of error between measurement and estimate. Moreover, the varieties of particles are maintained by sequential importance resampling. Simulations demonstrate the algorithm can estimate the CFO and channel with high accuracy, as well as has some robustness to the channel model variation.
  • Keywords
    Kalman filters; MIMO communication; Monte Carlo methods; OFDM modulation; channel estimation; frequency estimation; particle filtering (numerical methods); synchronisation; Kalman filter; MIMO-OFDM systems; carrier frequency offset estimation; channel estimation; channel model variation; channel parameters; frequency synchronization; multiple-input multiple-output system; orthogonal frequency division multiplexing system; particle filter algorithm; sequential Monte Carlo; sequential importance sampling; wireless communication system; Frequency estimation; Frequency synchronization; MIMO; Monte Carlo methods; OFDM; Particle filters; Particle measurements; Robustness; Sampling methods; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5302829
  • Filename
    5302829