Sound source identification and sound radiation modeling in a moving medium using the time-domain equivalent source method

2015 ◽  
Vol 137 (5) ◽  
pp. 2678-2686 ◽  
Author(s):  
Xiao-Zheng Zhang ◽  
Chuan-Xing Bi ◽  
Yong-Bin Zhang ◽  
Liang Xu
Keyword(s):  
Sound Source ◽  
Time Domain ◽  
Source Identification ◽  
Sound Radiation ◽  
Moving Medium ◽  
Equivalent Source ◽  
Source Method ◽  
Sound Source Identification ◽  
The Time Domain ◽  
Radiation Modeling

Sound Field Prediction and Separation in a Moving Medium Using the Time-Domain Equivalent Source Method

2017 ◽  
Vol 103 (3) ◽  
pp. 401-410 ◽  
Author(s):  
Zhao-Huan Wang ◽  
Chuan-Xing Bi ◽  
Xiao-Zheng Zhang ◽  
Yong-Bin Zhang
Keyword(s):  
Time Domain ◽  
Sound Field ◽  
Moving Medium ◽  
Equivalent Source ◽  
Source Method ◽  
The Time Domain ◽  
Equivalent Source Method

An alternating iterative algorithm for sound source identification based on equivalent source method

2020 ◽  
Vol 68 (1) ◽  
pp. 59-71
Author(s):  
Chen Liangsong ◽  
He Yansong ◽  
Niu Xiyuan ◽  
Bao Jian ◽  
Li Wei
Keyword(s):  
Iterative Algorithm ◽  
Sound Source ◽  
Computational Efficiency ◽  
Source Identification ◽  
Dynamic Range ◽  
Reconstruction Accuracy ◽  
Equivalent Source ◽  
Source Method ◽  
Sound Source Identification ◽  
Equivalent Source Method

Near-field acoustical holography (NAH) based on equivalent source method (ESM) is an efficient technique for sound source identification. Conventional ESM with Tikhonov regularization (TRESM), ESM based on CVX MATLAB toolbox (CVX) and wideband acoustic holography (WBH) are commonly used methods for calculating equivalent source strengths. However, all of them have their respective limitations. To address some of these, an alternating iterative algorithm for sound source identification based on equivalent source method (AIESM) is proposed in this article, which is a combination of alternating direction method and a non-monotone line search technique. The method makes use of sparse regularization under the principle of compressive sensing (CS) to calculate equivalent source strengths. Moreover, inspired by the idea of functional beamforming (FB), AIESM with order n can yield an improved dynamic range when detecting the source location. Numerical simulations are carried out at different frequencies, and the results suggest that the computational efficiency of the proposed method is close to that of TRESM. In addition, AIESM has a better reconstruction accuracy than TRESM and WBH in a relatively wide frequency range. Compared with ESM based on CVX, AIESM is slightly better in reconstruction accuracy and has a higher computational efficiency. Meanwhile, AIESM with order n can provide more accurate source position and better resolution. The validity and practicality of the proposed method are further supported by experimental results.

Suppressing the onset of instabilities in the time-domain equivalent source method using a multistep approach

2017 ◽  
Vol 141 (6) ◽  
pp. 4810-4821 ◽  
Author(s):  
Yong-Bin Zhang ◽  
Chuan-Xing Bi ◽  
Xiao-Zheng Zhang ◽  
Liang Xu
Keyword(s):  
Time Domain ◽  
Equivalent Source ◽  
Source Method ◽  
The Time Domain ◽  
Equivalent Source Method

An approach for indoor prediction of the pass-by noise of a vehicle based on the time-domain equivalent source method

2021 ◽  
Vol 146 ◽  
pp. 107037
Author(s):  
Jian Chen ◽  
Ce Liu ◽  
Xiao-Zheng Zhang ◽  
Yong-Bin Zhang ◽  
Jia-Zhu Li
Keyword(s):  
Time Domain ◽  
Equivalent Source ◽  
Source Method ◽  
The Time Domain ◽  
Equivalent Source Method

Acoustic Scattering in the Time Domain Using an Equivalent Source Method

AIAA Journal ◽  
2010 ◽  
Vol 48 (12) ◽  
pp. 2772-2780 ◽  
Author(s):  
Seongkyu Lee ◽  
Kenneth S. Brentner ◽  
Philip J. Morris
Keyword(s):  
Time Domain ◽  
Acoustic Scattering ◽  
Equivalent Source ◽  
Source Method ◽  
The Time Domain ◽  
Equivalent Source Method
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