• DocumentCode
    164823
  • Title

    Near-field source localization using spherical microphone array

  • Author

    Kumar, Lalan ; Singhal, Kushagra ; Hegde, Rajesh M.

  • Author_Institution
    Indian Inst. of Technol., Kanpur, Kanpur, India
  • fYear
    2014
  • fDate
    12-14 May 2014
  • Firstpage
    82
  • Lastpage
    86
  • Abstract
    Source localization using spherical microphone arrays has received attention due to the ease of array processing in the spherical harmonics (SH) domain with no spatial ambiguity. In this paper, we address the issue of near-field source localization using a spherical microphone array. In particular, three methods that jointly estimate the range and bearing of multiple sources in the spherical array framework, are proposed. Two subspace-based methods called the Spherical Harmonic MUltiple SIgnal Classification (SH-MUSIC) and the Spherical Harmonics MUSIC-Group Delay (SH-MGD) for near field source localization, are first presented. Additionally, a method for near-field source localization using the Spherical Harmonic MVDR (SH-MVDR) is also formulated. Experiments on near-field source localization are conducted using a spherical microphone array at various SNR. The SH-MGD is able to resolve closely spaced sources when compared to other methods.
  • Keywords
    array signal processing; microphone arrays; signal classification; SH-MGD; SH-MUSIC; SH-MVDR; array processing; harmonic multiple signal classification; near-field source localization; spherical harmonic MVDR; spherical harmonics domain; spherical harmonics music-group delay; spherical microphone array framework; Array signal processing; Delays; Equations; Harmonic analysis; Microphone arrays; Multiple signal classification; Group delay; MUSIC; Near-field; Spherical Harmonics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hands-free Speech Communication and Microphone Arrays (HSCMA), 2014 4th Joint Workshop on
  • Conference_Location
    Villers-les-Nancy
  • Type

    conf

  • DOI
    10.1109/HSCMA.2014.6843256
  • Filename
    6843256