Hybrid patch near-field acoustic holography based on Kalman filter

Yang, Chao; Wang, Y.S.; Guo, Hui

doi:10.1016/j.apacoust.2018.12.010

Cited by 8 publications

(4 citation statements)

References 26 publications

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“…The spherical coordinate system is established with the target sound source and the interferer source as the coordinate origin, respectively. The holographic plane is shifted in the direction of the interference source by a tiny distance d to form a virtual holographic plane, and because the distance is small, both the holographic plane and the virtual holographic plane can be considered to be in the near field of the target sound source [20][21][22] . As shown in Figure 1, suppose there are N measurement points on the holographic plane.…”

Section: Sound Field Separation Methods Based On Virtual Double Holog...mentioning

confidence: 99%

Sound Field Separation Method and Experiment Based on Virtual Double Holographic Planes

et al. 2023

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Section: Sound Field Separation Methods Based On Virtual Double Holog...mentioning

confidence: 99%

Sound Field Separation Method and Experiment Based on Virtual Double Holographic Planes

et al. 2023

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“…Near-field acoustic holography (NAH) is a robust technology that was first introduced in the early 1980s and has been proven to be an effective tool for identifying sound sources and reconstructing sound fields [ 1 , 2 , 3 ]. According to different principles of sound field spatial transformation, various NAH algorithms have been developed, such as the spatial Fourier transform method [ 4 ], the boundary element method [ 5 ], and the equivalent source method (ESM) [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Sparse Reconstruction of Sound Field Using Bayesian Compressive Sensing and Equivalent Source Method

Xiao

Liu

Wang

et al. 2023

Sensors

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To solve the problem of sound field reconstruction with fewer measurement points, a sound field reconstruction method based on Bayesian compressive sensing is proposed. In this method, a sound field reconstruction model based on a combination of the equivalent source method and sparse Bayesian compressive sensing is established. The MacKay iteration of the relevant vector machine is used to infer the hyperparameters and estimate the maximum a posteriori probability of both the sound source strength and noise variance. The optimal solution for sparse coefficients with an equivalent sound source is determined to achieve the sparse reconstruction of the sound field. The numerical simulation results demonstrate that the proposed method has higher accuracy over the entire frequency range compared to the equivalent source method, indicating a better reconstruction performance and wider frequency applicability with undersampling. Moreover, in environments with low signal-to-noise ratios, the proposed method exhibits significantly lower reconstruction errors than the equivalent source method, indicating a superior anti-noise performance and greater robustness in sound field reconstruction. The experimental results further verify the superiority and reliability of the proposed method for sound field reconstruction with limited measurement points.

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“…However, this method only monitors the vibrational information of the radiator shell, and there are shortcomings in predicting the radiation noise caused by sound transmission in some frequency bands, which will lead to large prediction errors and require more vibration monitoring points, and the test system is complex. In the 1990s, Koopman et al proposed the wave superposition method based on the superposition integral equation [18,19]; subsequently, a large number of scholars conducted in-depth studies on this method [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Underwater Radiated Noise Prediction Method of Cabin Structures under Hybrid Excitation

Guo,

Zhang,

Yang

et al. 2023

Applied Sciences

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Aiming at the engineering limitations of traditional ship vibration online monitoring and noise prediction methods, this paper proposes a method for online monitoring and underwater radiation noise prediction of cabin structures’ vibration and noise under hybrid excitation of sound and force. The method first constructs the condition test model; based on OTPA technology, the “acoustic-vibration” transfer function between sound and vibration monitoring points in the cabin and the “acoustic/vibration-acoustic” transmission network inside and outside the cabin structure are obtained. Secondly, based on the “acoustic-vibration” transfer function, the online vibration and sound monitoring data are decoupled and processed to obtain the modified vibration and sound monitoring data. Finally, the near-field radiation noise on the conformal hologram surface outside the cabin is predicted based on the “acoustic/vibration-acoustic” transmission network, and the far-field radiation noise of the cabin structure is predicted by the wave superposition method. In this paper, the contribution law of external radiation noise and the coupling characteristics of the monitoring information under the hybrid excitation of sound and force are analyzed theoretically, and the decoupling method of coupling information is also studied. This method makes up for the problem of missing underwater radiation noise caused by sound excitation in traditional vibration monitoring, and it can effectively improve the prediction accuracy of underwater radiation noise. The effectiveness of the method is further verified by the tank model experiments.

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Hybrid patch near-field acoustic holography based on Kalman filter

Cited by 8 publications

References 26 publications

Sound Field Separation Method and Experiment Based on Virtual Double Holographic Planes

Sound Field Separation Method and Experiment Based on Virtual Double Holographic Planes

Sparse Reconstruction of Sound Field Using Bayesian Compressive Sensing and Equivalent Source Method

Underwater Radiated Noise Prediction Method of Cabin Structures under Hybrid Excitation

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