• DocumentCode
    3030923
  • Title

    An enhanced echo MIMO channel estimation method

  • Author

    Shuo Li ; Bingquan Li ; Yantao Han ; Chengwen Xing ; Zesong Fei ; Jingming Kuang

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    8-10 Aug. 2012
  • Firstpage
    390
  • Lastpage
    393
  • Abstract
    An echo channel estimation method in the multi-input multi-output(MIMO) system under the frequency-flat fading channel is presented. The key idea of echo MIMO estimation method is to reflect, or “echo”, back the received training signal to the transmitter. But the noise reflected back to the BS together with the training signal will critically decrease the accuracy of channel estimation. In this paper, we propose a preprocessing method, which can eliminate the impact of noise, before reflecting back the training signal to solve this problem. Moreover, based on Kronecker channel model, different designs of preprocessing matrix are proposed under different antenna configuration, which will result in different estimation performance. Simulation results show that the enhanced echo MIMO channel estimation method could effectively decrease the mean square errors (MSEs) of channel estimation.
  • Keywords
    MIMO communication; channel estimation; echo; fading channels; mean square error methods; Kronecker channel model; antenna configuration; enhanced echo MIMO channel estimation; frequency-flat fading channel; mean square errors; multiinput multioutput system; Downlink; MIMO; Mobile communication; channel state information (CSI); echo channel estimation; multi-input multi-output (MIMO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China (CHINACOM), 2012 7th International ICST Conference on
  • Conference_Location
    Kun Ming
  • Print_ISBN
    978-1-4673-2698-8
  • Electronic_ISBN
    978-1-4673-2697-1
  • Type

    conf

  • DOI
    10.1109/ChinaCom.2012.6417513
  • Filename
    6417513