• DocumentCode
    2723049
  • Title

    Two-dimensional iterative APP channel estimation and decoding for OFDM systems

  • Author

    Ten Brink, Stephan ; Sanzi, Frieder ; Speidel, Joachim

  • Author_Institution
    Inst. of Telecommun., Stuttgart Univ., Germany
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    741
  • Abstract
    We present a channel estimation method for coherent detection of multicarrier signals which is based on the a posteriori probability calculation algorithm (APP estimator). A two-dimensional channel estimation is performed by applying a concatenation of two one-dimensional APP estimators. The combination with an outer soft in/soft out channel decoder allows one to further improve the bit error rate by means of iterative estimation and decoding. The robustness of the new channel estimator permits one to reduce the number of pilot symbols which are required as phase references for coherent detection. It is readily applicable to current multicarrier systems (e.g. DVB-T) without changing the transmission format. A combination with an inner convolutional code is suggested to further improve the performance
  • Keywords
    OFDM modulation; channel coding; convolutional codes; error statistics; iterative decoding; land mobile radio; parameter estimation; signal detection; 2D iterative APP channel estimation; 2D iterative decoding; APP estimator; DVB-T; a posteriori probability calculation algorithm; bit error rate; channel estimation; coherent detection; inner convolutional code; mobile communication channel; multicarrier signals; outer soft in/soft out channel decoder; performance improvement; phase references; pilot symbols reduction; transmission format; Bit error rate; Channel estimation; Digital video broadcasting; Iterative algorithms; Iterative decoding; Phase detection; Phase estimation; Probability; Robustness; Signal detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2000. GLOBECOM '00. IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-6451-1
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2000.891238
  • Filename
    891238