• DocumentCode
    70185
  • Title

    Low-Complexity Signal Detection for Generalized Spatial Modulation

  • Author

    Yue Xiao ; Zongfei Yang ; Lilin Dan ; Ping Yang ; Lu Yin ; Wei Xiang

  • Author_Institution
    Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    18
  • Issue
    3
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    403
  • Lastpage
    406
  • Abstract
    Generalized spatial modulation (GSM), in which only part of the transmit antennas are activated in each time slot, was recently proposed as a trade-off between spatial modulation (SM) and vertical Bell laboratories space-time (V-BLAST). Although the maximum likelihood (ML) detector is able to achieve the optimal performance, its exhaustive search leads to intractable computational complexity. In this letter, an efficient signal detection algorithm, termed ordered block minimum mean-squared error (OB-MMSE), is proposed for achieving near-ML performance with low complexity. On one hand, an ordering algorithm is proposed to sort the possible transmit antenna combinations (TACs). On the other hand, the possible signal vector for each ordered TAC is detected by block-MMSE equalization. Simulation results show that the proposed OB-MMSE detector provides similar performance to ML with near 80% reduction in complexity.
  • Keywords
    MIMO communication; least mean squares methods; maximum likelihood detection; transmitting antennas; ML detector; OB-MMSE detector; SM-MIMO; TAC; V-BLAST; block-MMSE equalization; generalized spatial modulation; low-complexity signal detection; maximum likelihood detector; ordered block minimum mean-squared error; transmit antenna combinations; vertical Bell laboratories space-time; Complexity theory; Detection algorithms; Detectors; GSM; Modulation; Transmitting antennas; Vectors; Generalized spatial modulation (GSM); maximum likelihood (ML); multiple input multiple output (MIMO); ordered block minimum mean squared error (OB-MMSE);
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2013.123113.132586
  • Filename
    6784532