• DocumentCode
    3292481
  • Title

    OFDM blind signal detection based on the probability-enhanced genetic algorithm

  • Author

    Chengzhi, Fang ; Liya, Huang ; Ying, Zhang

  • Author_Institution
    Coll. of Electron. Sci. & Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    2420
  • Lastpage
    2424
  • Abstract
    In recent years the quadratic program (QP) is applied for the blind signal detection of the time-varying OFDM systems. The minimum solution of the QP is obtained by means of exhaustive search in the vector space, which often involves large and nondeterministic complexity. In this paper, we derive some formulas describing the probability information about the received PSK-type signals. With these formulas, a novel genetic algorithm (GA) based method is proposed. Different from other approaches, this method includes a new selection and mutation strategy, ensuring the near-optimal solution can be found with least complexity. The simulations prove the effectiveness of the new method.
  • Keywords
    OFDM modulation; genetic algorithms; phase shift keying; probability; quadratic programming; signal detection; OFDM blind signal detection; PSK-type signals; mutation strategy; nondeterministic complexity; probability-enhanced genetic algorithm; quadratic programming; selection strategy; time-varying OFDM systems; vector space; Complexity theory; Constellation diagram; Delta modulation; Genetic algorithms; OFDM; Optimization; Phase shift keying; Genetic Algorithm; OFDM; Probability; Signal Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5778275
  • Filename
    5778275