Low-frequency sound source localization in enclosed space based on time reversal method

Ma, Hongguang; Shang, Tao; Li, Gufeng; Li, Zhaokun

doi:10.1016/j.measurement.2022.112096

Cited by 5 publications

(3 citation statements)

References 37 publications

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“…Due to the presence of background noise, the denominator of Equation (21) will not be equal to zero, but there will be a minimum value, resulting in a corresponding peak value, and the position corresponding to the peak value is considered to be the position of the sound source.…”

Section: Proposed Istr-musicmentioning

confidence: 99%

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Sound Source Localization Method Based on Time Reversal Operator Decomposition in Reverberant Environments

Ma,

Shang,

et al. 2024

Electronics

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Predicting sound sources in reverberant environments is a challenging task because reverberation causes reflection and scattering of sound waves, making it difficult to accurately determine the position of the sound source. Due to the characteristics of overcoming multipath effects and adaptive focusing of the time reversal technology, this paper focuses on the application of the time reversal operator decomposition method for sound source localization in reverberant environments and proposes the image-source time reversal multiple signals classification (ISTR-MUSIC) method. Firstly, the time reversal operator is derived, followed by the proposal of a subspace method to achieve sound source localization. Meanwhile, the use of the image-source method is proposed to calculate and construct the transfer matrix. To validate the effectiveness of the proposed method, simulations and real-data experiments were performed. In the simulation experiments, the performance of the proposed method under different array element numbers, signal-to-noise ratios, reverberation times, frequencies, and numbers of sound sources were studied and analyzed. A comparison was also made with the traditional time reversal method and the MUSIC algorithm. The experiment was conducted in a reverberation chamber. Simulation and experimental results show that the proposed method has good localization performance and robustness in reverberant environments.

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Section: Proposed Istr-musicmentioning

confidence: 99%

“…Numerical simulation and experimental results show that the spatial resolution of the proposed method can reach 1/34 λ at 100 Hz under a low SNR (0 dB) in the near field. Ma et al proposed a TR-SBL method for low-frequency sound sources, which achieved good results in the environment of reverberation and low SNR [21].…”

Section: Introductionmentioning

confidence: 99%

Sound Source Localization Method Based on Time Reversal Operator Decomposition in Reverberant Environments

Ma,

Shang,

et al. 2024

Electronics

Self Cite

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“…The sound field transmission is then simulated to obtain the sound pressure gain value. Furthermore, this paper does not discuss the first six air gaps of the gradient structure due to the mismatch between the acoustic vector and the mode field [44]. In order to characterize the performance of NGCMs relative to Nonlinear-GAMs without added coiled structure, Nonlinear-GAM models are simultaneously constructed in this paper.…”

Section: Simulation Analysismentioning

confidence: 99%

A Nonlinear Gradient-Coiling Metamaterial for Enhanced Acoustic Signal Sensing

Hao,

Zhao,

Han

2023

Crystals

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Acoustic sensing systems play a critical role in identifying and determining weak sound sources in various fields. In many fault warning and environmental monitoring processes, sound-based sensing techniques are highly valued for their information-rich and non-contact advantages. However, noise signals from the environment reduce the signal-to-noise ratio (SNR) of conventional acoustic sensing systems. Therefore, we proposed novel nonlinear gradient-coiling metamaterials (NGCMs) to sense weak effective signals from complex environments using the strong wave compression effect coupled with the equivalent medium mechanism. Theoretical derivations and finite element simulations of NGCMs were executed to verify the properties of the designed metamaterials. Compared with nonlinear gradient acoustic metamaterials (Nonlinear-GAMs) without coiling structures, NGCMs exhibit far superior performance in terms of acoustic enhancement, and the structures capture lower frequencies and possess a wider angle acoustic response. Additionally, experiments were constructed and conducted using set Gaussian pulse and harmonic acoustic signals as emission sources to simulate real application scenarios. It is unanimously shown that NGCMs have unique advantages and broad application prospects in the application of weak acoustic signal sensing, enhancement and localization.

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High-Resolution localization of broadband sound sources in a duct using out-duct array measurements

Zhou,

Wang,

et al. 2024

Measurement

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Low-frequency sound source localization in enclosed space based on time reversal method

Cited by 5 publications

References 37 publications

Sound Source Localization Method Based on Time Reversal Operator Decomposition in Reverberant Environments

Sound Source Localization Method Based on Time Reversal Operator Decomposition in Reverberant Environments

A Nonlinear Gradient-Coiling Metamaterial for Enhanced Acoustic Signal Sensing

High-Resolution localization of broadband sound sources in a duct using out-duct array measurements

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