• DocumentCode
    684420
  • Title

    An improved DFT-based channel estimation method for OFDM system

  • Author

    Xingxing Li ; Xiaojun Jing ; Songlin Sun ; Hai Huang ; Yueming Lu

  • Author_Institution
    Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, China
  • fYear
    2013
  • fDate
    23-23 Nov. 2013
  • Firstpage
    550
  • Lastpage
    554
  • Abstract
    In the OFDM system, channel estimation is significant in that it affects the reliability of coherent detection at the receiver side. DFT-based channel estimation method is suitable for sparse channel estimation due to sparsity means low computational complexity. Combined with exponential smoothing, an improved DFT-Based channel estimation method is proposed in order to suppress noise. The noise suppression capacity of exponential smoothing is analyzed in theory. Simulation results indicate that the improved method is superior to DFT-based method at a cost of low additional computational complexity.
  • Keywords
    Channel Estimation; DFT-Based Method; Exponential Smoothing; OFDM;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Cyberspace Technology (CCT 2013), International Conference on
  • Conference_Location
    Beijing, China
  • Electronic_ISBN
    978-1-84919-801-1
  • Type

    conf

  • DOI
    10.1049/cp.2013.2101
  • Filename
    6748646