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Subspace-based methods require a large number of sensors for localization of closely spaced sources since the spectral magnitude of Multiple Signal Classification (MUSIC) is used. However, the MUSIC-Group delay (MUSIC-GD) method has been used earlier to resolve closely spaced sources with a limited number of sensors. In this work, the MUSIC-GD method is used in high resolution azimuth and elevation...
TheMUSIC-group delay spectrum has been hitherto used for high resolution direction of arrival estimation using a limited number of sensors. In this work we discuss the significance of the MUSIC-group delay spectrum for robust direction of arrival estimation using shrinkage estimators. The MUSIC-group delay spectrum computed using shrinkage estimation of the covariance matrix, is found to be robust...
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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