• DocumentCode
    2123793
  • Title

    A linear programming approach for PAPR reduction in OFDM systems

  • Author

    Tung, Yuan-Hao ; Lin, Kuhn-Chang ; Su, Yu.T.

  • Author_Institution
    Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2009
  • fDate
    13-16 Sept. 2009
  • Firstpage
    1667
  • Lastpage
    1671
  • Abstract
    Peak-to-average-power ratio (PAPR) is a key design concern of an OFDM system as it determines the system´s power efficiency. Clipping is a simple and efficient way of reducing PAPR. A suboptimal recursive clipping and filtering (RCF) method was proposed in [5] to reduce PAPR. This paper presents an alternate RCF approach which selects an error (clipping) vector that minimizes the peaks in both I- and Q-channels while satisfying some time and frequency domain distortion bounds. We formulate the design problem as a constrained linear programming (CLP) problem and extend it to include the tonereservation option. Like the RCF method, our approach does not need side information and incurs no data rate loss. Since the error vector used in RCF has not been optimized, our approach offers improved PAPR reduction. It also provide tradeoff between PAPR reduction and bit error rate (BER) degradation.
  • Keywords
    OFDM modulation; error statistics; linear programming; recursive filters; BER; OFDM systems; PAPR reduction; bit error rate; linear programming; peak-to-average-power ratio; suboptimal recursive clipping; suboptimal recursive filtering; Bit error rate; Design engineering; Filtering; Frequency domain analysis; Linear programming; Nonlinear distortion; OFDM; Partial transmit sequences; Peak to average power ratio; Vectors; Peak-to-average-power ratio (PAPR); clipping threshold; constellation error; linear programming (LP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-5122-7
  • Electronic_ISBN
    978-1-4244-5123-4
  • Type

    conf

  • DOI
    10.1109/PIMRC.2009.5449736
  • Filename
    5449736