scholarly journals Sound field separation technique based on equivalent source method and double-layer particle velocity measurements

2013 ◽  
Vol 62 (8) ◽  
pp. 084301
Author(s):  
Bi Chuan-Xing ◽  
Hu Ding-Yu ◽  
Zhang Yong-Bin ◽  
Xu Liang
Keyword(s):  
Double Layer ◽  
Particle Velocity ◽  
Sound Field ◽  
Separation Technique ◽  
Velocity Measurements ◽  
Equivalent Source ◽  
Source Method ◽  
Field Separation ◽  
Equivalent Source Method

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

scholarly journals A Compressed Equivalent Source Method Based on Equivalent Redundant Dictionary for Sound Field Reconstruction

2019 ◽  
Vol 9 (4) ◽  
pp. 808 ◽  
Author(s):  
Yansong He ◽  
Liangsong Chen ◽  
Zhongming Xu ◽  
Zhifei Zhang
Keyword(s):  
Dynamic Range ◽  
Sound Field ◽  
High Dynamic Range ◽  
Redundant Dictionary ◽  
Equivalent Source ◽  
Practical Applications ◽  
Field Reconstruction ◽  
Source Method ◽  
Value Decomposition ◽  
Equivalent Source Method

The equivalent source method (ESM) based on compressive sensing (CS) requires that the source has a sparse or approximately sparse representation in a suitable basis or dictionary. However, in practical applications, it is not easy to find the appropriate basis or dictionary due to the indeterminate characteristics of the source. To solve this problem, an equivalent redundant dictionary is constructed, which contains two core parts: one is the equivalent dictionary used in the CS-based ESMs under the sparse assumption, and the other one is the orthogonal basis obtained by the singular value decomposition (SVD). On this foundation, a method named compressed ESM based on the equivalent redundant dictionary (ERDCESM) is proposed to enhance the performances of source field reconstruction for different types of sources. Moreover, inspired by the idea of functional beamforming (FB), ERDCESM with order v (ERDCESM- v ) can possess a high dynamic range when detecting the source location. The numerical simulations are carried out at different frequencies to evaluate the performance of the proposed method, and the results suggest that the proposed method performs well both for sparse and even spatially extended sources. The validity and practicality of the proposed method are also verified by the experimental results.

scholarly journals Low-Frequency Sound Prediction of Structures with Finite Submerge Depth Based on Sparse Vibration Measurement

2021 ◽  
Vol 11 (2) ◽  
pp. 768
Author(s):  
Wenbo Wang ◽  
Desen Yang ◽  
Jie Shi
Keyword(s):  
Measurement System ◽  
Free Field ◽  
Low Frequency ◽  
Sound Field ◽  
Vibration Measurement ◽  
Radiation Mode ◽  
Equivalent Source ◽  
Frequency Sound ◽  
Source Method ◽  
Equivalent Source Method

In the non-free-field, with the effect of reflection sounds from the reflection boundary, the vibration character of a submerged structure often changes, which may have significant influences on the measurement system configurations. To reduce the engineering cost in low-frequency sound prediction of a submerged structure with finite depth, two methods based on the theory of acoustic radiation mode (ARM) are proposed. One is called the vibration reconstruction equivalent source method (VR-ESM), which utilizes the ARM to reconstruct the total vibration of the structure, and the sound prediction is completed with the equivalent source method (ESM); the other is called the compressed modal equivalent source method (CMESM), which utilizes the theory of compressive sensing (CS) and the ARM to reinforce the sparsity of source strengths. The sound field separation (SFS) technology is combined with the above two methods for constructing the ARMs accurately in the non-free field. Simulations show that both methods are efficient. Compared with the traditional method based on the structural modal analysis, the methods based on the ARM could efficiently reduce the scale of the measurement system. However, the measurement point arrangement should be optimized to keep the prediction results accurate. In this paper, the optimization process is completed with the efficient independence (EFI) method. In addition, some factors that may affect the prediction accuracy are also analyzed in this paper. When the submerge depth is large enough, the process of contrasting ARMs could be further simplified. The results of the paper could help in saving engineering costs to predict the low-frequency sound radiation of submerged structures in the future.

scholarly journals Sound field separation with sound pressure and particle velocity measurements

2012 ◽  
Vol 132 (6) ◽  
pp. 3818-3825 ◽  
Author(s):  
Efren Fernandez-Grande ◽  
Finn Jacobsen ◽  
Quentin Leclère
Keyword(s):  
Particle Velocity ◽  
Sound Pressure ◽  
Sound Field ◽  
Velocity Measurements ◽  
Field Separation
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