Acoustic Beamforming Algorithms and Their Applications in Environmental Noise

IF 6.4 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Current Pollution Reports Pub Date : 2023-05-31 DOI:10.1007/s40726-023-00264-9
Gaetano Licitra, Francesco Artuso, Marco Bernardini, Antonino Moro, Francesco Fidecaro, Luca Fredianelli
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引用次数: 2

Abstract

Purpose of Review

Rather than broadly investigating the beamforming field, the present work has the distinctive feature of analyzing the most common algorithms through both a theoretical presentation and a report of their most recent applications to real cases. The intent is to take a step forward towards the harmonization of the sector with a combined approach that could prove to be useful for academics willing to understand the theory and for technicians needing to choose the best algorithms to use in different measurement conditions.

Recent Findings

In recent years, the sector has seen the growth of studies published on the use of beamforming techniques and their applications to real cases. Unfortunately, different authors and research groups developed so many different algorithms that a literature review turns out to be essential to increase awareness and to avoid confusion for both scientists and technicians.

Summary

Nowadays, acoustic cameras have been proven to be powerful instruments that combine a video acquisition with a microphone array to obtain real-time information about the location of noise sources. Different beamforming techniques can be applied to sound signals allowing their visualization or distinguishing the contribution of multiple different emitters. This quality, historically used in different branches of acoustics, is now spreading into environmental noise protection, especially where it is needed to locate the emitters or to better study sources that have not yet been characterized. Acoustic cameras can also be used to identify the responsible for noise limits exceedings at receivers when traditional microphone measurements are not enough, or to identify potential leakages occurred in the installation of noise abatement measurements.

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声波束形成算法及其在环境噪声中的应用
本文并没有广泛地研究波束形成领域,而是通过理论介绍和最新的实际应用报告来分析最常见的算法。其目的是通过一种综合的方法,向行业的协调迈出一步,这种方法可能对愿意理解理论的学者和需要在不同测量条件下选择最佳算法的技术人员有用。最近的发现近年来,该领域发表的关于波束成形技术的使用及其在实际案例中的应用的研究有所增长。不幸的是,不同的作者和研究小组开发了如此多不同的算法,以至于文献综述对于提高科学家和技术人员的认识和避免混淆至关重要。如今,声学摄像机已被证明是一种强大的仪器,它将视频采集与麦克风阵列相结合,以获得有关噪声源位置的实时信息。不同的波束形成技术可以应用于声音信号,使其可视化或区分多个不同发射器的贡献。这种质量,历史上用于声学的不同分支,现在正在扩展到环境噪声保护,特别是在需要定位发射器或更好地研究尚未表征的来源的地方。当传统的麦克风测量不够时,声学摄像机也可以用来识别接收器的噪声超出限制的原因,或者识别在安装降噪测量时发生的潜在泄漏。
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来源期刊
Current Pollution Reports
Current Pollution Reports Environmental Science-Water Science and Technology
CiteScore
12.10
自引率
1.40%
发文量
31
期刊介绍: Current Pollution Reports provides in-depth review articles contributed by international experts on the most significant developments in the field of environmental pollution.By presenting clear, insightful, balanced reviews that emphasize recently published papers of major importance, the journal elucidates current and emerging approaches to identification, characterization, treatment, management of pollutants and much more.
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