• DocumentCode
    588977
  • Title

    Predicting spectral regrowth of power amplifiers in OFDM systems

  • Author

    Ching-Hsiang Tseng ; Jen-Ho Cheng

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
  • fYear
    2012
  • fDate
    21-23 Nov. 2012
  • Firstpage
    130
  • Lastpage
    134
  • Abstract
    The (orthogonal frequency-division multiplexing) OFDM signal is vulnerable to nonlinearities (such as power amplifier nonlinearities) in communication channels. Therefore, understanding how the channel nonlinearities distort the OFDM signal is essential to the success of an OFDM system. In this paper, we derive a closed-form expression for the spectrum of the OFDM signal at the power amplifier output in terms of power amplifier parameters and the higher-order statistics of the OFDM signal. This expression can be used to predict the spectral regrowth of the OFDM signal caused by power-amplifier nonlinearities. This problem is important because it can help to foresee whether the power amplifier is suitable for the application under consideration without actually conducting expensive experiments. Computer simulation is conducted to justify the goodness of the proposed prediction method. The result indicates that the proposed method can provide a simple yet accurate way for predicting the spectral regrowth.
  • Keywords
    OFDM modulation; power amplifiers; OFDM signal; OFDM system; channel nonlinearities; closed form expression; communication channels; orthogonal frequency division multiplexing signal; power amplifier nonlinearities; power amplifiers; spectral regrowth; Baseband; Data models; Discrete Fourier transforms; Modulation; OFDM; Passband; Power generation; OFDM; Volterra model; frequency-domain analysis; higher-order spectrum; nonlinear channel; power amplifier; spectral regrowth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems (ICCS), 2012 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    Pending
  • Print_ISBN
    978-1-4673-2052-8
  • Type

    conf

  • DOI
    10.1109/ICCS.2012.6406123
  • Filename
    6406123