• DocumentCode
    2264344
  • Title

    Performance Analysis of the Distribution-Transform-Based PAR Reduction Method for OFDM Signal

  • Author

    Yu, Hua ; Hu, Leming ; Ji, Fei ; Wei, Gang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou
  • fYear
    2006
  • fDate
    27-30 Nov. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Recently, a very effective peak-to-average power ratio (PAR) reduction scheme based on the distribution transform (DT) for OFDM signals is proposed. Key idea of DT is to transform the distribution of the OFDM signal amplitudes into a target distribution, which has limited dynamic range and very low PAR. But, the PAR-reduction performance and the BER performance of DT are conflicting with each other similar to other signal-distortion-type PAR-reduction schemes. In this paper, the trade-off between the PAR and BER performances of DT is addressed. An analysis framework is proposed to select the optimum transform function for DT with minimum consumed energy-to-noise ratio (SNRC). Simulation shows DT with the optimum transform function can obtain about 2dB SNRC gain compared to the original OFDM signal.
  • Keywords
    OFDM modulation; error statistics; BER performance; OFDM Signal; distribution-transform-based PAR reduction method; energy-to-noise ratio; gain 2 dB; optimum transform function; peak-to-average power ratio reduction scheme; performance analysis; signal-distortion-type schemes; target distribution; Bit error rate; Distributed amplifiers; Dynamic range; Fading; OFDM modulation; Peak to average power ratio; Performance analysis; Power amplifiers; Power engineering and energy; Power system modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology, 2006. ICCT '06. International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    1-4244-0800-8
  • Electronic_ISBN
    1-4244-0801-6
  • Type

    conf

  • DOI
    10.1109/ICCT.2006.341897
  • Filename
    4146498