• DocumentCode
    1161092
  • Title

    Joint receive antenna selection and symbol detection for MIMO systems: a heterogeneous genetic approach

  • Author

    Lu, Hoang-Yang ; Fang, Wen-Hsien

  • Author_Institution
    Dept. of Electr. Eng., Nat. Ocean Univ., Keelung
  • Volume
    13
  • Issue
    2
  • fYear
    2009
  • fDate
    2/1/2009 12:00:00 AM
  • Firstpage
    97
  • Lastpage
    99
  • Abstract
    This letter presents a joint scheme of receive antenna selection and symbol detection for multiple-input,multiple output (MIMO) systems based on the maximum likelihood (ML) criterion. To mitigate the computational complexity, a novel variant of the genetic algorithm (GA) is addressed to solve the nonlinear optimization involved, where a new heterogenous crossover and a new heterogenous mutation are conducted in the chromosome evolution process. Furnished simulations show that the new approach provides superior performance with substantially lower computational load compared with previous works in both correlated and uncorrelated channels.
  • Keywords
    MIMO communication; antenna arrays; array signal processing; genetic algorithms; maximum likelihood estimation; receiving antennas; signal detection; MIMO system; chromosome evolution process; computational complexity; genetic approach; joint receive antenna selection method; maximum likelihood criterion; multiple antennas; multiple-input multiple output systems; nonlinear optimization; symbol detection; Antenna theory; Biological cells; Computational complexity; Computational modeling; Genetic algorithms; Genetic mutations; MIMO; Maximum likelihood detection; Receiving antennas; Transmitting antennas; Symbol detection, genetic algorithm, antenna selection, heterogenous crossover/mutation, MIMO;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2009.081036
  • Filename
    4783770