• DocumentCode
    2738234
  • Title

    MIMO FIR channel estimation: a first-order statistical method

  • Author

    Tao, Jun ; Yang, Luxi

  • Author_Institution
    Dept. of Radio Eng., Southeast Univ., Nanjing, China
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    1437
  • Abstract
    Mobile wireless links exhibit frequency selective fading , thus a receiver needs to perform channel estimation and equalization. In this paper, we propose a superimposed periodic pilot scheme for channel estimation of a multi-input and multi-output (MIMO) system with finite-impulse response (FIR). A simple first-order statistics is used, and any FIR channel can be estimated provided both transmitted signals and additional noises are stationary with known means while regardless of any assumption on the color or distribution. There is no loss of information rate except for a controllable increase in transmission power. We derive the variance expression of this linear channel estimator. Numerical simulations demonstrate the effectiveness of this proposed method.
  • Keywords
    MIMO systems; channel estimation; fading; radio links; statistical analysis; transient response; MIMO FIR channel estimation; MIMO system; channel equalization; finite impulse response; first order statistics; frequency selective fading; linear channel estimator; mobile wireless links; multiinput multioutput system; numerical simulations; periodic pilot scheme; statistical method; transmission power; variance expression; Channel estimation; Colored noise; Fading; Finite impulse response filter; Frequency estimation; Information rates; MIMO; Propagation losses; Statistical analysis; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1281144
  • Filename
    1281144