Development and evaluation of a 3-D microphone array to locate individual acoustic sources in a high-speed jet

2004 ◽  
Vol 276 (3-5) ◽  
pp. 649-669 ◽  
Author(s):  
J Hileman ◽  
B Thurow ◽  
M Samimy
Keyword(s):  
High Speed ◽  
Microphone Array ◽  
Acoustic Sources

Analysis of source contribution to pass-by noise for a moving high-speed train based on microphone array measurement

Measurement ◽  
2021 ◽  
Vol 174 ◽  
pp. 109058
Author(s):  
Muxiao Li ◽  
Shuoqiao Zhong ◽  
Tiesong Deng ◽  
Ziwei Zhu ◽  
Xiaozhen Sheng
Keyword(s):  
High Speed ◽  
Microphone Array ◽  
High Speed Train ◽  
Source Contribution ◽  
Array Measurement

The Properties and Localizations of Acoustic Sources of High Speed Jets

2015 ◽  
Author(s):  
Pinqing Kan ◽  
Jacques Lewalle ◽  
Zachary P. Berger ◽  
Mark N. Glauser
Keyword(s):  
High Speed ◽  
Acoustic Sources

A Real-Time Multiple Acoustic Sources Localization Method Using Widely Spaced Microphone Array

2013 ◽  
Vol 391 ◽  
pp. 580-583 ◽  
Author(s):  
Tian Yi Gu ◽  
Zhao Zhao ◽  
Ya Qi Wu ◽  
Zhi Yong Xu ◽  
Jing Yi Wang
Keyword(s):  
Real Time ◽  
Microphone Array ◽  
Localization Method ◽  
Cluster Process ◽  
Sound Detection ◽  
Acoustic Sources ◽  
Phase Differences

A real-time disambiguous localization method for multiple acoustic sources using widely spaced microphone array is proposed in this paper. The observation signals in each frame are firstly discriminated utilizing conventional energy-based sound detection measurement. Using inter-microphone phase differences (IPD), as well as an iterative cluster process, the DOAs of sources can be estimated while the phase wrapping ambiguity in conventional DUET is avoided.

Designing a Microphone Array System for Noise Measurements on High-Speed Trains

2011 ◽  
Vol 14 (6) ◽  
pp. 477-483 ◽  
Author(s):  
Hee-Min Noh ◽  
Sung-Hoon Choi ◽  
Suk-Yoon Hong ◽  
Seog-Won Kim
Keyword(s):  
High Speed ◽  
Microphone Array ◽  
High Speed Trains ◽  
Noise Measurements

Investigation of Pantograph Effect on High-Speed Train Noise

2012 ◽  
Vol 233 ◽  
pp. 239-242
Author(s):  
Xiao Feng Zhang ◽  
You Gang Xiao ◽  
He Lian Deng ◽  
Jian Feng Huang
Keyword(s):  
High Speed ◽  
Microphone Array ◽  
Broad Band ◽  
Side Wall ◽  
Sound Field ◽  
Noise Spectrum ◽  
Low Noise ◽  
Sound Insulation ◽  
Vehicle Noise ◽  
Sealing Performance

Using microphone and removable planar microphone array, the exterior and interior vehicle noise near pantograph were investigated when the train ran at 250-350km/h, the noise spectrum characters of these areas were obtained. The results show that at the pantograph seat and in the vehicle below pantograph, the noise spectrum show a broad band distribution, and the noise energy is mainly concentrated within the range of 100Hz-2kHz. Interior vehicle noise below pantograph is a non-uniform reverberant sound field, the regions with larger sound pressure level (SPL) are distributed near the roof, the floor, the side wall below the luggage. For reducing interior vehicle noise below pantograph, such measures as using low noise pantograph, adding sound insulation pad, filling sound absorption materials and improving sealing performance should be taken, and these measures should be effective at 100Hz-2kHz.

scholarly journals Incident Signal Power Comparison for Localization of Concurrent Multiple Acoustic Sources

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Daniele Salvati ◽  
Sergio Canazza
Keyword(s):  
Open Space ◽  
Traditional Approach ◽  
Microphone Array ◽  
Measurement Techniques ◽  
Signal Power ◽  
Noisy Environment ◽  
Multiple Sources ◽  
Power Comparison ◽  
Open Spaces ◽  
Acoustic Sources

In this paper, a method to solve the localization of concurrent multiple acoustic sources in large open spaces is presented. The problem of the multisource localization in far-field conditions is to correctly associate the direction of arrival (DOA) estimated by a network array system to the same source. The use of systems implementing a Bayesian filter is a traditional approach to address the problem of localization in multisource acoustic scenario. However, in a real noisy open space the acoustic sources are often discontinuous with numerous short-duration events and thus the filtering methods may have difficulty to track the multiple sources. Incident signal power comparison (ISPC) is proposed to compute DOAs association. ISPC is based on identifying the incident signal power (ISP) of the sources on a microphone array using beamforming methods and comparing the ISP between different arrays using spectral distance (SD) measurement techniques. This method solves the ambiguities, due to the presence of simultaneous sources, by identifying sounds through a minimization of an error criterion on SD measures of DOA combinations. The experimental results were conducted in an outdoor real noisy environment and the ISPC performance is reported using different beamforming techniques and SD functions.

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