• DocumentCode
    2738492
  • Title

    A Decision-Aided Carrier Recovery Method with the New Low Complexity MMSE Algorithm

  • Author

    Chang, Dah-Chung ; Lin, Wei-Tsen

  • Author_Institution
    Dept. of Commun. Eng., Nat. Central Univ., Jhongli
  • fYear
    2006
  • fDate
    7-10 May 2006
  • Firstpage
    37
  • Lastpage
    42
  • Abstract
    A new adaptive carrier synchronization applying the extended Kalman filtering algorithm is proposed. The state model in the new algorithm uses only phase rather than both phase and frequency in the conventional method. The frequency is used as an input term to the state equation and estimated by a phase error detector. A reduced observation model is also considered to reduce complexity by only calculating scalar instead of matrix in the Kalman recursions. The simulations show that the one-state Kalman algorithm has better performance and lower complexity than the two-state Kalman algorithm. The proposed algorithm is applied to the cable modem downstream system to demonstrate its effectiveness
  • Keywords
    Kalman filters; channel estimation; least mean squares methods; synchronisation; Kalman algorithm; Kalman recursions; MMSE algorithm; adaptive carrier synchronization; cable modem downstream system; decision-aided carrier recovery method; extended Kalman filtering algorithm; phase error detector; state equation; Equations; Filtering algorithms; Frequency estimation; Frequency synchronization; Kalman filters; Modems; Phase detection; Phase estimation; Phase frequency detector; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/information Technology, 2006 IEEE International Conference on
  • Conference_Location
    East Lansing, MI
  • Print_ISBN
    0-7803-9592-1
  • Electronic_ISBN
    0-7803-9593-X
  • Type

    conf

  • DOI
    10.1109/EIT.2006.252161
  • Filename
    4017665