Sound field separation technique based on equivalent source method and its application in nearfield acoustic holography

2008 ◽  
Vol 123 (3) ◽  
pp. 1472-1478 ◽  
Author(s):  
Chuan-Xing Bi ◽  
Xin-Zhao Chen ◽  
Jian Chen
Keyword(s):  
Sound Field ◽  
Separation Technique ◽  
Acoustic Holography ◽  
Equivalent Source ◽  
Source Method ◽  
Field Separation ◽  
Equivalent Source Method ◽  
Nearfield Acoustic Holography

Patch nearfield acoustic holography based on the equivalent source method

2008 ◽  
Vol 51 (1) ◽  
pp. 100-110 ◽  
Author(s):  
ChuanXing Bi ◽  
XinZhao Chen ◽  
Liang Xu ◽  
Jian Chen
Keyword(s):  
Acoustic Holography ◽  
Equivalent Source ◽  
Source Method ◽  
Equivalent Source Method ◽  
Nearfield Acoustic Holography

Equivalent Source Method-Based Nearfield Acoustic Holography in a Moving Medium

2017 ◽  
Vol 139 (5) ◽  
Author(s):  
Chuan-Xing Bi ◽  
Bi-Chun Dong ◽  
Xiao-Zheng Zhang ◽  
Yong-Bin Zhang
Keyword(s):  
Particle Velocity ◽  
Analytical Relationship ◽  
Moving Medium ◽  
Acoustic Holography ◽  
Sound Sources ◽  
Equivalent Source ◽  
Source Method ◽  
Velocity Input ◽  
Equivalent Source Method ◽  
Nearfield Acoustic Holography

To identify sound sources situated in a fluid flow, an equivalent source method (ESM)-based nearfield acoustic holography (NAH) in a moving medium is proposed, and two types of acoustic inputs, pressure and particle velocity, are considered. In particular, an analytical relationship between the particle velocity perpendicular to the flow direction and the equivalent source strength is deduced, which makes it possible to realize the reconstruction with particle velocity input. Compared to the planar NAH in a moving medium, the proposed method is applicable to sound sources with more complicated geometries. Numerical simulations with sound sources distributed over two types of geometries including planar geometry and nonplanar one are conducted to test the performances of the proposed method. The results indicate that the proposed method provides satisfactory reconstructed results whatever with pressure input or with particle velocity input, and it is valid and robust over a wide range of flow velocities and frequencies and under different levels of background noise.

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