Non-negative least squares deconvolution method for mirror-ground beamforming

In order to improve the acoustic source identification performance of beamforming when ground reflection exists, an array point spread function was derived and a corresponding non-negative least squares deconvolution method was given for a mirror-ground beamforming method. Simulations of a known aco...

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Bibliographic Details
Published in:Journal of vibration and control 2016-09, Vol.22 (16), p.3470-3478
Main Authors: Zhigang, Chu, Linbang, Shen, Yang, Yang, Guangjian, Wang
Format: Article
Language:English
Subjects:
Acoustic sources
Acoustics
Arrays
Attenuation
Beamforming
Deconvolution
Least squares method
Point spread functions
Simulation
Spatial resolution
Vibration
Vibration analysis
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Summary:In order to improve the acoustic source identification performance of beamforming when ground reflection exists, an array point spread function was derived and a corresponding non-negative least squares deconvolution method was given for a mirror-ground beamforming method. Simulations of a known acoustic source indicate that the given method is correct, and it could not only clear the acoustic source identification results effectively by improving the spatial resolution and attenuating the sidelobe interference, but it could also be superior to the conventional beamforming deconvolution method. On this basis, experiments were conducted to validate the correctness of the simulations and the effectiveness of the mirror-ground beamforming deconvolution method in practical application.
ISSN:1077-5463
1741-2986
DOI:10.1177/1077546314563778