• DocumentCode
    862335
  • Title

    Spectral analysis of OFDM signals and its improvement by polynomial cancellation coding

  • Author

    Panta, Kusha ; Armstrong, Jean

  • Author_Institution
    Dept. of Electron. Eng., La Trobe Univ., Vic., Australia
  • Volume
    49
  • Issue
    4
  • fYear
    2003
  • Firstpage
    939
  • Lastpage
    943
  • Abstract
    In orthogonal frequency division multiplexing (OFDM) systems, the subcarriers are generated by an inverse discrete Fourier transform. In the literature, the spectra of these subcarriers are often represented by a sequence of sinc functions of the same polarity. This is not consistent with the intercarrier interference (ICI) cancellation properties of polynomial cancellation coding (PCC) or similar self-ICI cancellation schemes in OFDM. This paper shows the spectra of these subcarriers are more accurately represented by a sequence of sinc functions with alternating polarity. It is shown that the spectral rolloff of OFDM signals can be improved by PCC and the resultant OOB power is much reduced.
  • Keywords
    OFDM modulation; discrete Fourier transforms; interference suppression; modulation coding; spectral analysis; OFDM signals; intercarrier interference cancellation; inverse discrete Fourier transform; orthogonal frequency division multiplexing systems; polynomial cancellation coding; sinc functions; spectral analysis; Digital audio broadcasting; Digital video broadcasting; Discrete Fourier transforms; Filtering; Interference cancellation; OFDM modulation; Peak to average power ratio; Polynomials; Power engineering and energy; Spectral analysis;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/TCE.2003.1261178
  • Filename
    1261178