• DocumentCode
    1306457
  • Title

    Peak-to-average power ratio reduction in orthogonal frequency division multiplexing system using differential evolution-based partial transmit sequences scheme

  • Author

    Hung, H.-L. ; Huang, Yih-Fang

  • Author_Institution
    Dept. of Electr. Eng., Chien-Kuo Technol. Univ., Changhua, Taiwan
  • Volume
    6
  • Issue
    11
  • fYear
    2012
  • Firstpage
    1483
  • Lastpage
    1488
  • Abstract
    A differential evolution (DE)-based partial transmit sequence (PTS) scheme for peak-to-average power ratio (PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems has been proposed. PTS techniques can improve the PAPR statistics of an OFDM signals, but the considerable computational complexity for the required search through a high-dimensional vector space is a potential problem for the implementation in practical systems. The DE is an efficient and powerful population-based stochastic search technique for solving optimisation problems over continuous space, which has been widely applied in many scientific and engineering fields. Thus, to reduce the complexity for searching phase weight vector and to improve the PAPR statistics, the authors introduce DE, to search the optimal phase weight factors. The simulation results show that the proposed DE-based PTS obtains an excellent PAPR performance with a low computational complexity.
  • Keywords
    OFDM modulation; computational complexity; evolutionary computation; DE-based PTS scheme; OFDM systems; PAPR reduction; PAPR statistics; computational complexity reduction; continuous space; differential evolution-based partial transmit sequence scheme; high-dimensional vector space; optimal phase weight factors; optimisation problem; orthogonal frequency division multiplexing system; peak-to-average power ratio reduction; powerful population-based stochastic search technique; searching phase weight vector;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2010.0997
  • Filename
    6323106