• DocumentCode
    1643932
  • Title

    A Modified Channel Estimation Based on SVD in LTE-Advanced Systems

  • Author

    Wang Hong-jin ; Liu Li-fa

  • Author_Institution
    Jiangsu Univ., Zhenjiang, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    MIMO-OFDM technology make full use of space and spectrum resources, it can exponentially increase the channel capacity, so it is one of the core technology of next generation mobile communication systems. In order to estimate the time domain (or frequency domain) response of MIMO-OFDM systems fast and accurately, the traditional SVD estimator is modified in this paper. To reduce the time to compute the parameters of time domain channel model and reduce the multipath effect on the channel module, we try to find the effective order of channel time domain model with reverse searching and select the auto-correlation function matrix eigenvalue of received signals. Simulation results show that the modified SVD estimator can improve the estimation performance effectively, its estimation performance close to the LMMSE estimator and it is simpler than the LMMSE estimator, easy to implement, so it can meet the requirements of high performance and low delay in LTE-Advanced standard.
  • Keywords
    Long Term Evolution; MIMO communication; OFDM modulation; channel capacity; channel estimation; eigenvalues and eigenfunctions; least mean squares methods; matrix algebra; multipath channels; next generation networks; singular value decomposition; time-frequency analysis; LMMSE estimator; LTE-advanced systems; MIMO; OFDM; SVD; autocorrelation function matrix; channel capacity; channel estimation; eigenvalue; mobile communication; multipath effect suppression; next generation communication; reverse searching; time domain channel model; Bit error rate; Channel estimation; Delay; Estimation; Mobile communication; OFDM; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-4244-6250-6
  • Type

    conf

  • DOI
    10.1109/wicom.2011.6040119
  • Filename
    6040119