• DocumentCode
    1622249
  • Title

    A novel and low complex detection method for MIMO channels: A new perspective

  • Author

    Soltani, Mohammad Dehghani ; Aghaeinia, Hassan ; Alimadadi, Mohammadreza

  • Author_Institution
    Amirkabir Univ. of Technol. Tehran, Tehran, Iran
  • fYear
    2012
  • Firstpage
    134
  • Lastpage
    138
  • Abstract
    In this paper, we have proposed a new and simple method for detection of transmitted symbols in both SISO and MIMO channels. The energy of received signals is the criterion which help us to limit the search space. Perfect knowledge of channel state information (CSI) in the receiver is assumed. So, all possible levels of energy can be determined easily. Since we have assumed the channel to be quasi-static, the computation of energy levels is done only once. Based on the closest energy level and the points which lie in the search space, decision can be made. In other words, we have constrained our search space to a new and smaller space with different levels of energy. Simulation results show approximately the same performance as the maximum-likelihood (ML) detector in high signal-to-noise ratios (SNRs) with a considerable reduction in the computational complexity.
  • Keywords
    MIMO communication; maximum likelihood detection; radio receivers; wireless channels; MIMO channel; SISO channel; channel state information; complex detection method; maximum likelihood detector; quasi-static channel; receiver; search space; signal-to-noise ratio; transmitted symbol detection; Computational complexity; Decoding; Energy states; MIMO; Receivers; Vectors; Computational complexity; Energy-based detection; Maximum-likelihood detector (MLD); Wireless communications; multiple-input multiple-output (MIMO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (IST), 2012 Sixth International Symposium on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4673-2072-6
  • Type

    conf

  • DOI
    10.1109/ISTEL.2012.6482971
  • Filename
    6482971