The delay &amp; sum algorithm applied to microphone array measurements: Numerical analysis and experimental validation

Cigada, Alfredo; Ripamonti, Francesco; Vanali, Marcello

doi:10.1016/j.ymssp.2007.01.001

Cited by 39 publications

(20 citation statements)

References 13 publications

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“…The weights can be used for 'shading' or 'spatial windowing' to improve resolution. 20 Moreover, Á m can be obtained by choosing…”

Section: Beamforming Power Analysismentioning

confidence: 99%

Noise-source identification of a high-speed train by noise source level analysis

Noh

2016

Proceedings of the Institution of Mechanical Engineers, Part F:

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In this study, noise-source identification of a high-speed train was conducted using a microphone array system. The actual sound pressure level analysis of the noise source was performed using scaling factors between the real sound pressure and the beam-power output based on the assumption that the integrated area of the main beam-power lobe is equal to half that of the actual sound pressure of the noise source. Then, the scaling factors for the 144-channel microphone array were derived from analysis of the array response function, and a verification experiment was conducted using a known noise source, an air horn, located on a high-speed train moving at 240 km/h. After the verification test, noise-source identification of the high-speed train was conducted. Based on the resulting noise map of the high-speed train moving at 390 km/h, the main noise sources were determined to be the inter-coach spacing, wheels, and pantograph. The noise generated by the pantograph was then investigated in more detail. It was concluded that the pan head of the pantograph was the main noise source at a frequency of 1000 Hz.

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“…The weights can be used for 'shading' or 'spatial windowing' to improve resolution. 20 Moreover, Á m can be obtained by choosing…”

Section: Beamforming Power Analysismentioning

confidence: 99%

Noise-source identification of a high-speed train by noise source level analysis

Noh

2016

Proceedings of the Institution of Mechanical Engineers, Part F:

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“…O Delay and Sum beamformer (DAS) é uma das técnicas mais simples de processamento de sinais com arranjos de microfones [9]. A ideia principal do método é alinhar os sinais provenientes da direção de interesse, por meio de atrasos (ou mudanças de fase, para processamento em banda estreita, como no nosso caso).…”

Section: A Delay and Sum Beamformerunclassified

Generalização da KAT para Estimação de Imagens Acústicas com Arranjos Não-Separáveis

Masiero¹,

Arroyo²,

Nascimento³

2015

Anais De XXXIII Simpósio Brasileiro De Telecomunicações

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Resumo-Recentemente foi desenvolvida a Transformada de Kronecker para Arranjos (KAT), que possibilita uma redução considerável do custo computacional de algoritmos de imagens acústicas-como beamforming, DAMAS2 e otimização com normas promotoras de esparsidade. Para que isto seja possível, a KAT requer que os microfones estejam distribuídos em uma geometria separável, o que nem sempre é possível. Neste artigo descrevemos como os cálculos com a KAT podem ser adaptados para permitir seu uso com arranjos que não apresentam geometria separável. Como exemplo, aplicamos a KAT adaptada para obter a imagem acústica medida por um arranjo separável, mas com elementos danificados.

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“…Other authors (Cigada et al, 2007) developed an experimental test in order to validate a linear microphone array using the delay & sum algorithm.…”

Section: Microphone Array Backgroundmentioning

confidence: 99%

Technical Notes: Using Microphone Arrays to Detect Moving Vehicle Velocity

Peral-Orts¹,

Velasco-Sánchez²,

Campillo-Davó³

et al. 2013

Archives of Acoustics

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The noise of motor vehicles is one of the most important problems as regards to pollution on main roads. However, this unpleasant characteristic could be used to determine vehicle speed by external observers. Building on this idea, the present study investigates the capabilities of a microphone array system to identify the position and velocity of a vehicle travelling on a previously established route. Such linear microphone array has been formed by a reduced number of microphones working at medium frequencies as compared to industrial microphone arrays built for location purposes, and operates with a processing algorithm that ultimately identifies the noise source location and reduces the error in velocity estimation.

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The delay & sum algorithm applied to microphone array measurements: Numerical analysis and experimental validation

Cited by 39 publications

References 13 publications

Noise-source identification of a high-speed train by noise source level analysis

Noise-source identification of a high-speed train by noise source level analysis

Generalização da KAT para Estimação de Imagens Acústicas com Arranjos Não-Separáveis

Technical Notes: Using Microphone Arrays to Detect Moving Vehicle Velocity

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