Compressive sensing beamforming based on covariance for acoustic imaging with noisy measurements: Journal of the Acoustical Society of America

S. Zhong; Q. Wei; X. Huang

doi:10.1121/1.4824630

Compressive sensing beamforming based on covariance for acoustic imaging with noisy measurements: Journal of the Acoustical Society of America

S. Zhong, Q. Wei, X. Huang

Department of Aeronautical and Aviation Engineering

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

Compressive sensing, a newly emerging method from information technology, is applied to array beamforming and associated acoustic applications. A compressive sensing beamforming method (CSB-II) is developed based on sampling covariance matrix, assuming spatially sparse and incoherent signals, and then examined using both simulations and aeroacoustic measurements. The simulation results clearly show that the proposed CSB-II method is robust to sensing noise. In addition, aeroacoustic tests of a landing gear model demonstrate the good performance in terms of resolution and sidelobe rejection. © 2013 Acoustical Society of America.

Original language	English
Pages (from-to)	EL445-EL451
Journal	J. Acoust. Soc. Am.
Volume	134
Issue number	5
DOIs	https://doi.org/10.1121/1.4824630
Publication status	Published - 2013

Keywords

Acoustics
Aircraft
Computer Simulation
Models, Theoretical
Motion
Noise, Transportation
Signal Processing, Computer-Assisted
Signal-To-Noise Ratio
Sound
Sound Spectrography
Beamforming
Covariance matrix
Information technology
Landing gear (aircraft)
Signal reconstruction
Acoustic application
Aeroacoustic measurements
Array beamforming
Beamforming methods
Compressive sensing
Incoherent signals
Landing gear models
Noisy measurements
acoustics
aircraft
article
computer simulation
motion
signal noise ratio
signal processing
sound
sound detection
theoretical model
traffic noise
Aeroacoustics

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10.1121/1.4824630

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887486664&doi=10.1121%2f1.4824630&partnerID=40&md5=5c6c5d5ef54440beabcefea51ac7b700

Cite this

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title = "Compressive sensing beamforming based on covariance for acoustic imaging with noisy measurements: Journal of the Acoustical Society of America",

abstract = "Compressive sensing, a newly emerging method from information technology, is applied to array beamforming and associated acoustic applications. A compressive sensing beamforming method (CSB-II) is developed based on sampling covariance matrix, assuming spatially sparse and incoherent signals, and then examined using both simulations and aeroacoustic measurements. The simulation results clearly show that the proposed CSB-II method is robust to sensing noise. In addition, aeroacoustic tests of a landing gear model demonstrate the good performance in terms of resolution and sidelobe rejection. {\textcopyright} 2013 Acoustical Society of America.",

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author = "S. Zhong and Q. Wei and X. Huang",

note = "Export Date: 12 January 2023; Cited By: 35; Correspondence Address: X. Huang; Department of Aeronautics and Astronautics, College of Engineering, Peking University, Beijing, 100871, China; email: huangxun@pku.edu.cn; CODEN: JASMA",

year = "2013",

doi = "10.1121/1.4824630",

language = "English",

volume = "134",

pages = "EL445--EL451",

journal = "J. Acoust. Soc. Am.",

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T2 - Journal of the Acoustical Society of America

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AU - Wei, Q.

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N1 - Export Date: 12 January 2023; Cited By: 35; Correspondence Address: X. Huang; Department of Aeronautics and Astronautics, College of Engineering, Peking University, Beijing, 100871, China; email: huangxun@pku.edu.cn; CODEN: JASMA

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AB - Compressive sensing, a newly emerging method from information technology, is applied to array beamforming and associated acoustic applications. A compressive sensing beamforming method (CSB-II) is developed based on sampling covariance matrix, assuming spatially sparse and incoherent signals, and then examined using both simulations and aeroacoustic measurements. The simulation results clearly show that the proposed CSB-II method is robust to sensing noise. In addition, aeroacoustic tests of a landing gear model demonstrate the good performance in terms of resolution and sidelobe rejection. © 2013 Acoustical Society of America.

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KW - Computer Simulation

KW - Models, Theoretical

KW - Motion

KW - Noise, Transportation

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KW - article

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KW - signal noise ratio

KW - signal processing

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KW - theoretical model

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JO - J. Acoust. Soc. Am.

JF - J. Acoust. Soc. Am.

IS - 5

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Compressive sensing beamforming based on covariance for acoustic imaging with noisy measurements: Journal of the Acoustical Society of America

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Keywords

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