• DocumentCode
    107782
  • Title

    Modeling and Compensation for the Distortion of Parametric Loudspeakers Using a One-Dimension Volterra Filter

  • Author

    Yongsheng Mu ; Peifeng Ji ; Wei Ji ; Ming Wu ; Jun Yang

  • Author_Institution
    State Key Lab. of Acoust., Inst. of Acoust., Beijing, China
  • Volume
    22
  • Issue
    12
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    2169
  • Lastpage
    2181
  • Abstract
    Recently, the general Volterra filter (VF) has been adopted for the modeling of parametric loudspeakers. However, the computation complexity of the VF is too high for real-time implementation. In this paper, a one-dimension Volterra filter (ODVF) with much lower complexity is introduced to model and compensate for the nonlinearity of parametric loudspeakers. A theoretical framework for ODVF model identification is established and a method of measuring the ODVF kernels using the exponential swept-sine signal is provided. The validity of modeling the nonlinearity of the parametric loudspeaker using the ODVF is verified theoretically and experimentally. Based on the established ODVF model, an inverse filter is designed to compensate for the 2nd harmonic distortion of the parametric loudspeakers. To further reduce the 3rd harmonic distortion, an improved compensation method is also proposed. Experimental results show that the performance of the ODVF-based compensation is comparable to that of the Volterra-filter based compensation.
  • Keywords
    acoustic distortion; harmonic analysis; loudspeakers; nonlinear filters; 2nd harmonic distortion; 3rd harmonic distortion; ODVF model identification; ODVF-based compensation; VF; exponential swept-sine signal; inverse filter; one-dimension Volterra filter; parametric loudspeakers; Computational modeling; Filtering theory; Harmonic distortion; Kernel; Loudspeakers; Mathematical model; Nonlinear systems; One-dimension Volterra filter (ODVF); Volterra filter (VF); parametric loudspeaker; pth-order inverse;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    2329-9290
  • Type

    jour

  • DOI
    10.1109/TASLP.2014.2363414
  • Filename
    6923454