• DocumentCode
    2824875
  • Title

    Real time indoor capacity measurement using 2X2 MIMO-OFDM

  • Author

    Vijayakumar, P. ; Kumar, S. Aasish ; Ramkrishna, M.

  • Author_Institution
    ECE Dept., SRM Univ., Chennai, India
  • fYear
    2015
  • fDate
    26-27 Feb. 2015
  • Firstpage
    668
  • Lastpage
    674
  • Abstract
    In this paper real time measurements of channel estimation and capacity is done for indoor MIMO-OFDM system using NI PXIe-1075 Tool kit in LabView. Multiple-input multiple-output (MIMO) systems is combined with orthogonal frequency division multiplexing (OFDM) systems to estimate the channel capacity for varying transmitted power and IFFT length. Two National Instruments devices NI-PXIe-5673 and NI-PXIe-5663 are used for the system implementation, for the transmitter and the receiver respectively. Channel estimation is done using least square method and the capacity is calculated. The digital signal processing that formats the information data for transmission is described along with the digital signal processing that recovers the information data. The experimental results for the various transmission parameters and master and slave antenna are tabulated and plotted.
  • Keywords
    MIMO communication; OFDM modulation; channel estimation; least squares approximations; signal processing; 2X2 indoor MIMO-OFDM system; LabView; NI PXIe-1075 tool kit; channel capacity; channel estimation; digital signal processing; least square method; multiple-input multiple-output systems; orthogonal frequency division multiplexing systems; real time indoor capacity measurement; Channel capacity; MIMO; OFDM; Receiving antennas; Transmitting antennas; Multiple-Input Multiple-Output (MIMO) System; Orthogonal frequency division multiplexing (OFDM); channel capacity; channel estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-7224-1
  • Type

    conf

  • DOI
    10.1109/ECS.2015.7124993
  • Filename
    7124993