scholarly journals An Improved Algorithm for Noise Source Localization Based on Equivalent Source Method

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Zhongming Xu ◽  
Qinghua Wang ◽  
Yansong He ◽  
Zhifei Zhang ◽  
Shu Li ◽  
...  
Keyword(s):  
Source Localization ◽  
High Frequency ◽  
Noise Source ◽  
Near Field ◽  
Low Frequency ◽  
Equivalent Source ◽  
Source Method ◽  
Functional Equivalent ◽  
Acoustical Holography ◽  
Equivalent Source Method

Near-field acoustical holography (NAH) based on the equivalent source method (ESM) is an efficient method applied for noise source identification. Asl2-norm-based regularization cannot produce a satisfactory solution of the ill-conditioned problem in high frequency, the conventional ESM is restricted to relatively low frequency, and the resolution of conventional ESM in middle to high frequency remains a limitation open to investigation. This article presents an algorithm known as improved functional equivalent source method (IFESM), designed to enhance the resolution of conventional ESM. This method is developed in the framework of wideband acoustical holography (WBH) combining with functional beamforming (FB). Through numerical simulations, it is proved that the proposed method can localize noise with higher resolution compared with WBH and conventional ESM, and the ghosts on noise source map can be suppressed effectively. The validity and the feasibility of the proposed method are manifested by experiments including single-source and coherent-source localization.

A Comparison of Equivalent Source Method and Monopole Time Reversal Method for Noise Source Localization

2018 ◽  
Vol 140 (6) ◽  
Author(s):  
Chuan-Xing Bi ◽  
Yong-Chang Li ◽  
Rong Zhou ◽  
Yong-Bin Zhang
Keyword(s):  
Source Localization ◽  
Time Reversal ◽  
Noise Source ◽  
Evanescent Waves ◽  
Source Strength ◽  
Low Frequencies ◽  
Equivalent Source ◽  
The Real ◽  
Source Method ◽  
Equivalent Source Method

The equivalent source method (ESM) and monopole time reversal method (MTRM) are two popular techniques for noise source localization. These two methods have some similar characteristics, such as using the pressure field measured by a microphone array as the input and using similar propagation matrices obtained from the Green's function. However, the spatial resolutions of results obtained by these two methods are different. The aim of this paper is to reveal the reason resulting in this difference from a theoretical analysis and compare the performance of these two methods using results from numerical simulations and experiments. Using the singular value decomposition (SVD) technique, the difference between the two methods is found to be only the diagonal matrices of singular values, and the two methods are equivalent after simply replacing the diagonal matrix in the MTRM with its inverse. Comparison of the results demonstrates that the ESM can calculate the real source strength and obtain a high spatial resolution due to the significant amplification of evanescent waves in the inverse process. However, it does not work when the signal-to-noise ratio (SNR) is low or the measurement distance is large. The performance of ESM under these situations can be significantly improved by introducing a regularization procedure. While the MTRM fails to calculate the real source strength and locate the source at low frequencies due to the loss of information of evanescent waves, it works well at high frequencies even with a low SNR and a large measurement distance.

Three‐dimensional application of improved equivalent source method for noise source identification

2016 ◽  
Vol 52 (17) ◽  
pp. 1501-1503
Author(s):  
Shu Li ◽  
Zhongming Xu ◽  
Yansong He ◽  
Zhifei Zhang ◽  
Qinghua Wang
Keyword(s):  
Source Identification ◽  
Noise Source ◽  
Three Dimensional ◽  
Equivalent Source ◽  
Source Method ◽  
Noise Source Identification ◽  
Equivalent Source Method

A block bayesian compressive sensing method based on the equivalent source method for near-field acoustic holography

2021 ◽  
pp. 107754632110564
Author(s):  
Ming Zan ◽  
Zhongming Xu ◽  
Linsen Huang ◽  
Zhonghua Tang ◽  
Zhifei Zhang ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Sound Source ◽  
Near Field ◽  
Wave Number ◽  
Signal To Noise ◽  
Acoustic Holography ◽  
Equivalent Source ◽  
Source Method ◽  
Reconstruction Performance ◽  
Equivalent Source Method

The conventional equivalent source method for near-field acoustic holography is an effective noise diagnosis method using microphone array. However, its performance is limited by microphone spacing, so the effect is unsatisfied when the wave number is high. In this paper, to broaden the frequency suitability and improve the performance of sound source reconstruction with low signal-to-noise ratios, a block Bayesian compressive sensing method based on the equivalent source method is proposed. Numerical results show that this proposed method has a good reconstruction performance and makes wideband reconstruction possible. By changing the frequency, location, and signal-to-noise ratio of the sound source, the reconstruction performance of the proposed method can remain stable. Finally, the validity and practicability of the proposed method are verified by experiments.

A sparse equivalent source method for near-field acoustic holography

2017 ◽  
Vol 141 (1) ◽  
pp. 532-542 ◽  
Author(s):  
Efren Fernandez-Grande ◽  
Angeliki Xenaki ◽  
Peter Gerstoft
Keyword(s):  
Near Field ◽  
Acoustic Holography ◽  
Equivalent Source ◽  
Source Method ◽  
Equivalent Source Method
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