• DocumentCode
    2124712
  • Title

    A simplified adaptive Kalman filter algorithm for carrier recovery of M-QAM signals

  • Author

    Gal, János ; Câmpeanu, Andrei

  • Author_Institution
    Commun. Dept., Politeh. Univ., Timisoara, Romania
  • fYear
    2012
  • fDate
    27-30 Aug. 2012
  • Firstpage
    303
  • Lastpage
    307
  • Abstract
    The paper proposes a carrier synchronization procedure for high-order QAM modulated signals that uses a decision-directed extended Kalman filtering (EKF) technique. The proposed method combines the Kalman filter with a lock detector to establish the status of the synchronization process, modifying adaptively the Kalman filter parameters. As compared with the complete EKF filter, the proposed synchronization algorithm simplifies the Kalman measurement model to a single scalar equation reducing significantly the computational complexity of the algorithm. Simulations show that the simplified Kalman algorithm has equivalent synchronization performances with the complete EKF filter.
  • Keywords
    adaptive Kalman filters; computational complexity; nonlinear filters; quadrature amplitude modulation; synchronisation; EKF filter; EKF technique; Kalman filter parameters; Kalman measurement model; M-QAM signals; carrier recovery; carrier synchronization procedure; computational complexity; decision-directed extended Kalman filtering technique; equivalent synchronization performance; high-order QAM modulated signals; lock detector; simplified Kalman algorithm; simplified adaptive Kalman filter algorithm; single scalar equation; synchronization algorithm; synchronization process; Adaptation models; Detectors; Kalman filters; Mathematical model; Phase locked loops; Quadrature amplitude modulation; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2012 17th International Conference on
  • Conference_Location
    Miedzyzdrojie
  • Print_ISBN
    978-1-4673-2121-1
  • Type

    conf

  • DOI
    10.1109/MMAR.2012.6347870
  • Filename
    6347870