• DocumentCode
    3600121
  • Title

    Representation and modeling of spherical harmonics manifold for source localization

  • Author

    Parthasarathy, Arun ; Kataria, Saurabh ; Kumar, Lalan ; Hegde, Rajesh M.

  • Author_Institution
    Indian Inst. of Technol. Kanpur, Kanpur, India
  • fYear
    2015
  • Firstpage
    26
  • Lastpage
    30
  • Abstract
    Source localization has been studied in the spatial domain using differential geometry in earlier work. However, parameters of the sensor array manifold have hitherto not been investigated for source localization in spherical harmonics domain. The objective of this work is to represent and model the manifold surface using differential geometry. The system model for source localization over a spherical harmonic manifold is first formulated. Subsequently, the manifold parameters are modeled in the spherical harmonics domain. Source localization methods using MUSIC and MVDR over the spherical harmonics manifold are developed. Experiments on source localization using a spherical microphone array indicate high resolution in noise.
  • Keywords
    differential geometry; harmonic analysis; microphone arrays; sensor arrays; sensor placement; signal classification; signal representation; MUSIC; MVDR; differential geometry; manifold parameters modeling; minimum variance distortionless response; multiple signal classification; sensor array manifold; source localization; spatial domain; spherical harmonics manifold modeling; spherical harmonics manifold representation; spherical microphone array; Arrays; Harmonic analysis; Manganese; Manifolds; Microphones; Multiple signal classification; Noise; Differential geometry; MUSIC; manifold; source localization; spherical harmonics domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICASSP.2015.7177925
  • Filename
    7177925