• DocumentCode
    3240795
  • Title

    Study on channel estimation of Long Term Evolution

  • Author

    Guo, Wei ; Li, Guojin

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Liaoning Tech. Univ., Huludao, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    367
  • Lastpage
    369
  • Abstract
    LTE (Long Term Evolution) based on MIMO-OFDM technology has become the mainstream technology for next-generation wireless communications. Channel estimation is an important part of OFDM receiver, which is the important basis for obtaining channel information, achieving channel equalization and choosing transmission method. In this paper, the LTE channel estimation algorithm based on the pilot location is studied. According to the disadvantage of large computation and complexity about MMSE, a simplified algorithm based on singular value decomposition SVD is used to reduce the operation complexity. Simulation results verified that the performance of improved SVD algorithm is as good as that of MMSE channel estimation algorithm, but the computational complexity is greatly reduced.
  • Keywords
    Long Term Evolution; MIMO communication; OFDM modulation; channel estimation; computational complexity; equalisers; least mean squares methods; singular value decomposition; LTE channel estimation algorithm; Long Term Evolution; MIMO-OFDM technology; MMSE channel estimation algorithm; OFDM receiver; channel equalization; computational complexity; improved SVD algorithm; next-generation wireless communications; pilot location; singular value decomposition; Phase shift keying; Signal to noise ratio; Channel Estimation; Long Term Evolution; Pilot; algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6014742
  • Filename
    6014742