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Subspace-based source localization methods utilize the spectral magnitude of the MUltiple SIgnal Classification (MUSIC) method. However, in all these methods, a large number of sensors are required to resolve closely spaced sources. A novel method for high resolution source localization based on the group delay of MUSIC is described in this work. The method can resolve both the azimuth and elevation...
In this paper, a novel method of robust source localization using MUSIC-Group delay (MUSIC-GD) spectrum computed over spherical harmonic components is described. Our earlier work on the MUSIC-GD spectrum has focused on uniform linear array (ULA) and uniform circular array (UCA) for resolving closely spaced speech sources using minimal number of sensors under reverberant environments. However, this...
Conventionally the spectral magnitude of MUSIC is used for efficient beam forming and clean speech acquisition from distant microphones. The MUSIC method is unable to resolve closely spaced DOAs with a computationally plausible number of sensors. In this paper we propose the use of the group delay function computed from theMUSIC phase spectrum for efficient DOA estimation. The group delay function...
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