Off-grid deconvolution beamforming for acoustic source identification

Yang, Yongxin; Yang, Yang; Chu, Zhigang

doi:10.1016/j.apacoust.2024.109909

Applied Acoustics

2024

DOI: 10.1016/j.apacoust.2024.109909

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Off-grid deconvolution beamforming for acoustic source identification

Yongxin Yang,

Yang Yang,

Zhigang Chu

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Performance analysis of beamforming algorithm based on deconvolution

Guan,

Kang,

Huang

et al. 2024

Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024)

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Deconvolved beamforming is a robust high-resolution beamforming method which yields narrow beam and low sidelobe. This paper describes the basic principles of Conventional BeamForming (CBF) and compares twelve different beamforming algorithms based on deconvolution, thus highlighting their commonalities and differences. Simulations and experiments comparing the accuracy of each algorithm on two-point coherent sources and one-point source with 56element Multi-Arm Spiral Array (MASA), the influence of different signal frequency and distance between sensor and source on the identification performance of acoustic source is analyzed, the results suggest that CLEARN-PSF generally provides an improved spatial resolution and is more robust to any sources.

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Performance analysis of beamforming algorithm based on deconvolution

Guan,

Kang,

Huang

et al. 2024

Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024)

View full text Add to dashboard Cite

show abstract

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Off-grid deconvolution beamforming for acoustic source identification

Cited by 1 publication

References 33 publications

Performance analysis of beamforming algorithm based on deconvolution

Performance analysis of beamforming algorithm based on deconvolution

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