• DocumentCode
    2135639
  • Title

    Iterative Channel Estimation Using Superimposed Pilot for BICM-OFDM

  • Author

    Yu, Yongzhi ; Zhang, Xingzhou ; Zhang, Zhongmin

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The conventional superimposed pilot applied in OFDM system has drawback of low accuracy. An iterative channel estimation algorithm based on superimposed pilot is proposed for the combination of orthogonal frequency division multiplexing (OFDM) and bit-interleaved coded modulation (BICM) system. This algorithm makes full use of the information provided by decoding, and has two steps. Firstly, pilots are added to the transmitted signals. The initial estimation employs the first-order statistics. Secondly, using the hard-decision feedback information provided by the decoding of BICM , the information between the channel estimator and the decoder could be exchanged. The accuracy could be improved by the feedback information provided by iterative decoding of BICM. Through the wideband HF channel, the simulation results show that, compared with conventional superimposed pilot algorithm, the proposed algorithm efficiently improves the accuracy of channel estimation and BER performance after two iterations.
  • Keywords
    OFDM modulation; channel estimation; interleaved codes; iterative methods; statistical analysis; bit-interleaved coded modulation; first-order statistic; hard-decision feedback information; iterative channel estimation; orthogonal frequency division multiplexing; superimposed pilot; Channel estimation; Feedback; Hafnium; Interleaved codes; Iterative algorithms; Iterative decoding; Modulation coding; OFDM modulation; Statistics; Wideband;
  • 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.2009.5303358
  • Filename
    5303358