A convolution model for computing the far-field directivity of a parametric loudspeaker array
A convolution model for computing the far-field directivity of a parametric loudspeaker array
This paper describes a method to compute the far-field directivity of a parametric loudspeaker array (PLA), whereby the steerable parametric loudspeaker can be implemented when phased array techniques are applied. The convolution of the product directivity and the Westervelt's directivity is suggested, substituting for the past practice of using the product directivity only. Computed directivity of a PLA using the proposed convolution model achieves significant improvement in agreement to measured directivity at a negligible computational cost.
777-784
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Kajikawa, Yoshinobu
a7d32c43-f780-4ae0-884c-08fe6f70c582
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Kajikawa, Yoshinobu
a7d32c43-f780-4ae0-884c-08fe6f70c582
Shi, Chuang and Kajikawa, Yoshinobu
(2015)
A convolution model for computing the far-field directivity of a parametric loudspeaker array.
Journal of the Acoustical Society of America, 137 (2), .
(doi:10.1121/1.4906163).
Abstract
This paper describes a method to compute the far-field directivity of a parametric loudspeaker array (PLA), whereby the steerable parametric loudspeaker can be implemented when phased array techniques are applied. The convolution of the product directivity and the Westervelt's directivity is suggested, substituting for the past practice of using the product directivity only. Computed directivity of a PLA using the proposed convolution model achieves significant improvement in agreement to measured directivity at a negligible computational cost.
Text
JASA14_Accepted
- Accepted Manuscript
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Accepted/In Press date: 11 December 2014
e-pub ahead of print date: 1 February 2015
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Local EPrints ID: 483687
URI: http://eprints.soton.ac.uk/id/eprint/483687
ISSN: 0001-4966
PURE UUID: 32a7838c-8026-479f-affb-730180606453
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Date deposited: 03 Nov 2023 17:54
Last modified: 18 Mar 2024 04:13
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Author:
Chuang Shi
Author:
Yoshinobu Kajikawa
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