• DocumentCode
    190970
  • Title

    Compressed sensing based scattering channel estimation for OFDM system under the scenarios of High-speed Railway

  • Author

    Xin Chen ; Yong Fang

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • fYear
    2014
  • fDate
    5-8 Aug. 2014
  • Firstpage
    539
  • Lastpage
    543
  • Abstract
    Considering the actual wireless channel conditions of High-speed Railway (HSR), it´s useful for setting up a novel scattering channel model, particularly in the fast fading channel and high moving terminal unit. Furthermore, we combine this model with orthogonal frequency-division multiplexing (OFDM) system for its own unique advantages. Channel estimation is an important issue for wireless communication system of HSR. Based on the scattering channel model and exploiting its coherent sparsity of the fading channel, we perform the channel estimation by orthogonal matching pursuit (OMP) algorithm. Simulation results show that the OMP method has obvious superiority over the conventional least square (LS) method and greatly decreases the pilot overhead burden.
  • Keywords
    OFDM modulation; channel estimation; compressed sensing; electromagnetic wave scattering; fading channels; railway communication; OFDM system; coherent sparsity; compressed sensing; fast fading channel; high moving terminal unit; high speed railway; orthogonal frequency division multiplexing; orthogonal matching pursuit algorithm; scattering channel estimation; scattering channel model; wireless channel conditions; Channel estimation; Matching pursuit algorithms; OFDM; Receiving antennas; Scattering; Wireless communication; Compressed sensing; High-speed Railway; OFDM system; OMP; scattering channel model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4799-5272-4
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2014.6986251
  • Filename
    6986251