• DocumentCode
    3304182
  • Title

    signal to noise and distortion ratio considerations for nonlinear communication channels

  • Author

    Raich, Raviv ; Qian, Hua ; Zhou, G. Tong

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    31 May-2 June 2004
  • Firstpage
    93
  • Abstract
    Many communications components are nonlinear and have a peak power or peak amplitude constraint. Nonlinearity generates distortions and thus an appropriate performance measure is the signal-to-noise-and-distortion ratio (SNDR). In this paper, we are interested in finding the nonlinear mapping that maximizes the SNDR subject to the peak amplitude constraint. The answer is a soft limiter with gain calculated based on the noise power and the probability density function of the input amplitude. We also investigate a bounding relationship between the SNDR and capacity of the nonlinear channel. The results of this paper can be applied for efficient transmission of high peak-to-average power ratio signals such as OFDM or for optimal linearization of nonlinear devices.
  • Keywords
    OFDM modulation; channel capacity; distortion; linearisation techniques; optimisation; probability; OFDM; SNDR; nonlinear communication channel; nonlinear mapping; orthogonal frequency division multiplexing; peak amplitude constraint; peak-to-average power ratio signal; probability density function; signal to noise and distortion ratio; Channel capacity; Communication channels; Noise level; Nonlinear distortion; PSNR; Peak to average power ratio; Power engineering and energy; Power engineering computing; Power system modeling; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on
  • Print_ISBN
    0-7803-7938-1
  • Type

    conf

  • DOI
    10.1109/CASSET.2004.1322925
  • Filename
    1322925