• DocumentCode
    2544445
  • Title

    An improved iterative channel estimation based LTE Downlink

  • Author

    Peng, Ting ; Lou, Xizhong ; Xu, Jia ; Zhou, Qian ; Li, Xiaochen ; Chen, Yanmin

  • Author_Institution
    Dept. of Inf. Eng., China Jiliang Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    1721
  • Lastpage
    1724
  • Abstract
    In this paper, we propose an iterative detecting and decoding method in LTE Downlink OFDM system based on reference aided channel estimation. Estimates of the complex channel gain and variance of the additive noise are derived first from known reference symbols and channel estimate filter. After turbo decoding, the decoded bits have been obtained. In order to obtain estimates of channel gain more accuracy, we adopted more reference symbols which modulate the decoded bits at the receiver again to estimate the channel frequency response. Also the mapping position of the OFDM symbols is consistent with first transmission. Through estimation of the channel iteratively, we can use more systems bits as iterative reference symbols. Simulation results shows that through the iterative channel estimation, the initial insert reference symbols have been reduced, the accuracy of channel estimation improved effectively and the bits error rate of the OFDM system can approach the perfect channel estimates.
  • Keywords
    Long Term Evolution; OFDM modulation; channel estimation; frequency response; iterative methods; turbo codes; LTE downlink OFDM system; additive noise; channel estimate filter; channel frequency response; improved iterative channel estimation; iterative reference symbols; reference aided channel estimation; turbo decoding; Accuracy; Channel estimation; Decoding; Downlink; Estimation; Iterative decoding; OFDM; LS; channle estimation; iterative; turbo;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6233908
  • Filename
    6233908