Superdirective beamforming based on spherical harmonic expansion on planar acoustic vector sensor arrays

The superdirective beamforming method based on spherical harmonic expansion is capable of generating a frequency-invariant three-dimensional (3D) beampattern. When applied to planar acoustic vector sensor arrays (PAVSAs), this method may yield a distorted beampattern. To rectify the issue of inaccur...

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Bibliographic Details
Published in:	Signal processing Vol. 230; p. 109836
Main Authors:	Han, Mingqian, Guo, Junyuan
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.05.2025
Subjects:	Main lobe constraints Planar acoustic vector sensor arrays Spherical harmonic expansion Superdirective beamforming Superdirective beamforming Planar acoustic vector sensor arrays Spherical harmonic expansion Main lobe constraints
ISSN:	0165-1684
Online Access:	Get full text
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Summary:	The superdirective beamforming method based on spherical harmonic expansion is capable of generating a frequency-invariant three-dimensional (3D) beampattern. When applied to planar acoustic vector sensor arrays (PAVSAs), this method may yield a distorted beampattern. To rectify the issue of inaccurate beampattern steering, the main lobe constraints are introduced to align the main lobe's steering direction with the intended direction. An optimized superdirective beamforming method is proposed by integrating the superdirective beamformer based on spherical harmonic expansion with the main lobe constraints. Then, a robust version of the proposed beamformer is also proposed by employing the white noise gain (WNG) constraint. The simulation results corroborate the theoretical analysis and substantiate the feasibility and superiority of the proposed methods.
ISSN:	0165-1684
DOI:	10.1016/j.sigpro.2024.109836