Acoustic Beamforming Algorithms and Their Applications in Environmental Noise

Licitra, Gaetano; Artuso, Francesco; Bernardini, Marco; Moro, Ali; Fidecaro, F.; Fredianelli, Luca

doi:10.1007/s40726-023-00264-9

Cited by 18 publications

(5 citation statements)

References 82 publications

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“…In order to accurately detect sound sources, beamforming and acoustic cameras can be used as perception tools with a high potential. Acoustic cameras combining video capture and microphone arrays can be used to obtain real-time information about the location of noise sources [21]. Kanka et al [22] measured the acoustic properties of a yacht using an acoustic camera and accurately assessed the acoustic comfort of the yacht.…”

Section: Measurement Methodsmentioning

confidence: 99%

Review on the Prediction and Control of Structural Vibration and Noise in Buildings Caused by Rail Transit

He,

Zhang,

Yao

et al. 2023

Buildings

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As rail transportation continues to advance, it provides significant convenience to the public. However, the environmental vibration and noise generated during its operation have become major concerns for residents living near rail lines. In response to these concerns, the “Law on the Prevention and Control of Noise Pollution” was promulgated in China, bringing attention to this issue within the rail transportation sector. This review summarizes the regular features observed in environmental vibration and secondary structural noise tests on different sections, including embankment sections, bridge sections, underground railroads and vehicle sections. Furthermore, it introduces several physical models utilized in the study of environmental vibration and secondary structural noise, focusing on three key aspects: excitation sources, propagation paths and the modelling of building structures. This paper also explores the introduction of data-driven models related to big data and artificial intelligence to enhance the accuracy and efficiency of research in this field and provides an overview of commonly used measures to control train-induced environmental vibrations and secondary noise in buildings. These measures are discussed in terms of excitation sources, propagation paths, and receivers, offering insights into effective strategies for mitigating the impact of rail transportation on nearby residents. Finally, this study highlights the primary findings and offers pertinent recommendations. These recommendations include considerations regarding both laboratory and on-site testing procedures, challenges associated with the deployment of data-driven models and key parameters for designing and utilizing low-stiffness fasteners.

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Section: Measurement Methodsmentioning

confidence: 99%

Review on the Prediction and Control of Structural Vibration and Noise in Buildings Caused by Rail Transit

He,

Zhang,

Yao

et al. 2023

Buildings

View full text Add to dashboard Cite

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“…Reference [28] provides a focused analysis of common beamforming algorithms, presenting both theoretical insights and recent applications in real cases. Rather than a broad exploration, the emphasis is on harmonizing the sector through a combined approach.…”

Section: Beamforming Techniquesmentioning

confidence: 99%

A Reduced Complexity Acoustic-Based 3D DoA Estimation with Zero Cyclic Sum

Fernandes,

Apolinário,

de Seixas

2024

Sensors

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Accurate direction of arrival (DoA) estimation is paramount in various fields, from surveillance and security to spatial audio processing. This work introduces an innovative approach that refines the DoA estimation process and demonstrates its applicability in diverse and critical domains. We propose a two-stage method that capitalizes on the often-overlooked secondary peaks of the cross-correlation function by introducing a reduced complexity DoA estimation method. In the first stage, a low complexity cost function based on the zero cyclic sum (ZCS) condition is used to allow for an exhaustive search of all combinations of time delays between pairs of microphones, including primary peak and secondary peaks of each cross-correlation. For the second stage, only a subset of the time delay combinations with the lowest ZCS cost function need to be tested using a least-squares (LS) solution, which requires more computational effort. To showcase the versatility and effectiveness of our method, we apply it to the challenging acoustic-based drone DoA estimation scenario using an array of four microphones. Through rigorous experimentation with simulated and actual data, our research underscores the potential of our proposed DoA estimation method as an alternative for handling complex acoustic scenarios. The ZCS method demonstrates an accuracy of 89.4%±2.7%, whereas the ZCS with the LS method exhibits a notably higher accuracy of 94.0%±3.1%, showcasing the superior performance of the latter.

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“…Licitra et al provides a comprehensive review of state-of-the-art beamforming algorithms employed in the estimation of DOA, covering both theoretical underpinnings and practical applications [25]. These algorithms can be broadly categorized into six distinct groups: conventional beamforming, functional beamforming, adaptive beamforming, eigenvalue decomposition, deconvolution methods and holographic methods [26][27][28].…”

Section: Analysis Of Doa Estimation In the Context Of Mutual Couplingmentioning

confidence: 99%

The Mitigation of Mutual Coupling Effects in Multi-Beam Echosounder Calibration under Near-Field Conditions

Zhang,

Yuan,

Sun

et al. 2024

JMSE

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The advancement of unmanned platforms is driving the miniaturization and cost reduction of the multi-beam echosounder (MBES). In the process of MBES array calibration, the mutual coupling significantly impacts the performance of parameter estimation. We propose a correction method to mitigate the mutual coupling effects in the calibration of MBES acoustic array. Initially, a near-field focused beamforming model is established to assess the influence of mutual coupling. Subsequently, the covariance matrix in the frequency domain is constructed to enhance algorithm efficiency and simplify solution procedures. This construction eliminates the need for a low-pass filtering step after heterodyning through extracting peak values near zero frequency in the signal frequency domain. Meanwhile, the Toeplitz property is leveraged to render the estimation results independent of the mutual coupling matrix. Finally, the mutual coupling coefficients and the direction of arrival (DOA) are joint-estimated and the Cramér–Rao bound is derived. The presented method effectively addresses the engineering challenge of MBES mutual coupling calibration. Additionally, the performance of the proposed method is verified through the measured data in simulation and tank experiments.

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Acoustic Beamforming Algorithms and Their Applications in Environmental Noise

Cited by 18 publications

References 82 publications

Review on the Prediction and Control of Structural Vibration and Noise in Buildings Caused by Rail Transit

Review on the Prediction and Control of Structural Vibration and Noise in Buildings Caused by Rail Transit

A Reduced Complexity Acoustic-Based 3D DoA Estimation with Zero Cyclic Sum

The Mitigation of Mutual Coupling Effects in Multi-Beam Echosounder Calibration under Near-Field Conditions

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