• DocumentCode
    62307
  • Title

    Wavefield Analysis Over Large Areas Using Distributed Higher Order Microphones

  • Author

    Samarasinghe, Prasanga ; Abhayapala, Thushara D. ; Poletti, Mark A.

  • Author_Institution
    Coll. of Eng. & Comput. Sci., Australian Nat. Univ., Acton, ACT, Australia
  • Volume
    22
  • Issue
    3
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    647
  • Lastpage
    658
  • Abstract
    Successful recording of large spatial soundfields is a prevailing challenge in acoustic signal processing due to the enormous numbers of microphones required. This paper presents the design and analysis of an array of higher order microphones that uses 2D wavefield translation to provide a mode matching solution to the height invariant recording problem. It is shown that the use of Mth order microphones significantly reduces the number of microphone units by a factor of 1/(2M + 1) at the expense of increased complexity at each microphone unit. Robustness of the proposed array is also analyzed based on the condition number of the translation matrix while discussing array configurations that result in low condition numbers. The white-noise gain (WNG) of the array is then derived to verify that improved WNG can be achieved when the translation matrix is well conditioned. Furthermore, the array´s performance is studied for interior soundfield recording as well as exterior soundfield recording using appropriate simulation examples.
  • Keywords
    acoustic signal processing; audio recording; matrix algebra; microphones; mode matching; white noise; 2D wavefield translation; WNG; acoustic signal processing; array configurations; distributed higher order microphones; height invariant recording problem; mode matching; soundfield recording; spatial soundfields; translation matrix; wavefield analysis; white noise gain; Arrays; Harmonic analysis; IEEE transactions; Microphones; Robustness; Speech; Speech processing; Array signal processing; harmonic analysis; microphone arrays;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    2329-9290
  • Type

    jour

  • DOI
    10.1109/TASLP.2014.2300341
  • Filename
    6714399