• DocumentCode
    2573968
  • Title

    An efficient adaptive receiver for MIMO-OFDM systems

  • Author

    Shen, Hong ; Zhang, Hua ; Zhao, Chunming

  • Author_Institution
    Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
  • fYear
    2011
  • fDate
    9-11 Nov. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we present an adaptive receiver for multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems. The adaptive algorithm switches between the maximum likelihood detection (MLD) and the minimum mean square error (MMSE) detection according to the channel condition. By exploiting the correlation in both time and frequency domains of OFDM systems, we reduce the complexity of the algorithm further. Simulation in the long term evolution (LTE) system shows that the adaptive detection can achieve high performance with low complexity.
  • Keywords
    Long Term Evolution; MIMO communication; OFDM modulation; adaptive signal detection; frequency-domain analysis; least mean squares methods; maximum likelihood detection; radio receivers; time-domain analysis; LTE system; Long Term Evolution; MIMO-OFDM systems; MLD; MMSE detection; adaptive detection; adaptive receiver; frequency domain; maximum likelihood detection; minimum mean square error detection; multiple-input multiple-output systems; orthogonal frequency-division multiplexing systems; time domain; Adaptive systems; Complexity theory; Decoding; MIMO; OFDM; Receiving antennas; adaptive receiver; maximum likelihood detection (MLD); minimum mean square error (MMSE) detection; multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4577-1009-4
  • Electronic_ISBN
    978-1-4577-1008-7
  • Type

    conf

  • DOI
    10.1109/WCSP.2011.6096710
  • Filename
    6096710