• DocumentCode
    2524687
  • Title

    Comparison of four OFDM signal representations approaches for high dynamic range nonlinear PA behavioural modelling

  • Author

    O´Droma, Máirtín ; Lei, Yiming

  • Author_Institution
    Limerick Univ., Limerick
  • fYear
    2007
  • fDate
    8-10 Oct. 2007
  • Firstpage
    143
  • Lastpage
    146
  • Abstract
    This paper presents advances in techniques for representing OFDM signals in nonlinear RF power amplifier behavioural modelling. OFDM is significantly sensitive to nonlinear distortion because of the high peak to average power ratio (PAPR) of its envelope. Four signal representation techniques are presented and compared. These are direct time domain method (DTD), mixed frequency and time domain method (MFTD), statistical approach (stat), and MFTD combined with a modified stat approach (MFTD-MS). AH four are applied to a Bessel Fourier behavioural model for a GaN nonlinear PA. This model is a particularly suitable tool for large dynamic range nonlinearity analysis of certain classes of multicarrier signals. The goal is to compare accuracy, preservation of modulation information, complexity and computer resource consumption.
  • Keywords
    Bessel functions; Fourier transforms; OFDM modulation; power amplifiers; radiofrequency amplifiers; signal representation; statistical analysis; time-domain analysis; Bessel Fourier behavioural model; OFDM signal representation approach; direct time domain method; multicarrier signal; nonlinear RF power amplifier; orthogonal frequency division multiplexing; statistical approach; Dynamic range; Gallium nitride; Nonlinear distortion; OFDM; Peak to average power ratio; Power amplifiers; RF signals; Radio frequency; Radiofrequency amplifiers; Signal representations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Integrated Circuit Conference, 2007. EuMIC 2007. European
  • Conference_Location
    Munich
  • Print_ISBN
    978-2-87487-002-6
  • Type

    conf

  • DOI
    10.1109/EMICC.2007.4412668
  • Filename
    4412668