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- W4200311611 abstract "A method to improve the localization of a sound source using a spherical microphone array embedded into autonomous systems is presented. The method is based on a low-complexity diagonal unloading (DU) beamforming in the spherical harmonic (SH) domain using a frequency smoothing power transform (FSPT) of the covariance matrices with a novel ego-noise reduction. The attenuation of the ego-noise in the signal-plus-ego-noise broadband FSTP covariance matrix is achieved by estimating the FSPT ego-noise covariance matrix and exploiting the subspace orthogonality property using a diagonal unloading procedure. Experiments with controlled real-world recordings performed by an aerial drone equipped with a 19-microphone spherical array while sensing a flying target drone demonstrate the efficiency of the proposed method." @default.
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- W4200311611 date "2021-10-17" @default.
- W4200311611 modified "2023-09-23" @default.
- W4200311611 title "Spherical Harmonic Diagonal Unloading Beamforming with Ego-Noise Reduction for DOA Estimation from Autonomous Systems" @default.
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- W4200311611 doi "https://doi.org/10.1109/waspaa52581.2021.9632772" @default.
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