• DocumentCode
    1397232
  • Title

    Simple low-complexity detection schemes for M-ary quadrature amplitude modulation spatial modulation

  • Author

    Xu, Hao

  • Author_Institution
    Sch. of Eng., Univ. of KwaZulu-Natal, Durban, South Africa
  • Volume
    6
  • Issue
    17
  • fYear
    2012
  • Firstpage
    2840
  • Lastpage
    2847
  • Abstract
    In this study, the authors propose a simple low-complexity detection scheme for Nt×NrM-ary quadrature amplitude modulation spatial modulation that exhibits a much lower computational complexity compared to the conventional maximum-likelihood (ML) detection scheme. The proposed simple low-complexity detection scheme firstly detects the transmitted symbol for each transmit antenna based on modified suboptimal detection, and secondly chooses N (NNt) pairs of the most probable transmit antenna index and transmitted symbol subset, which the transmitted signal most probably belongs to, and finally searches the pair of transmit antenna index and transmitted symbol among these pairs. To further reduce detection complexity of the proposed simple detection scheme the authors also propose an adaptive detection scheme. Simulation results validate that the average bit-error-rate (BER) performance of the proposed simple detection scheme is almost the same as that of the conventional ML optimal detection with significant complexity reduction. Simulation results also show that the adaptive detection scheme can achieve optimal detection BER performance with further complexity reduction compared to the proposed simple low-complexity detection scheme.
  • Keywords
    error statistics; quadrature amplitude modulation; transmitting antennas; BER; M-ary quadrature amplitude modulation; ML detection; adaptive detection scheme; bit-error-rate; complexity reduction; computational complexity; low-complexity detection scheme; maximum-likelihood detection; spatial modulation; symbol subset; transmit antenna index;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2012.0211
  • Filename
    6409530