Wind Noise Reduction for Outdoor Measurement Microphones With Windscreens

2008 ◽  
Author(s):  
Z. C. Zheng ◽  
Ying Xu
Keyword(s):  
Noise Reduction ◽  
High Frequency ◽  
Low Frequency ◽  
High Flow ◽  
Low Flow ◽  
Computational Techniques ◽  
Wind Noise ◽  
Flow Resistivity ◽  
Materials Used ◽  
Wind Noise Reduction

In this study, effects of windscreen material property on wind noise reduction are investigated at different frequencies of incoming wind turbulence. The properties of porous materials used for the windscreen are represented by flow resistivity. Computational techniques are developed to study the detailed flow around the windscreen as well as flow inside the windscreen that uses a porous material as the medium. The coupled simulation shows that for low-frequency turbulence, the windscreens with low flow resistivity are more effective in noise reduction. Contrarily, for high-frequency turbulence, the windscreens with high flow resistivity are more effective.

scholarly journals SIMULATION OF TURBULENT WIND NOISE REDUCTION BY POROUS WINDSCREENS USING HIGH-ORDER SCHEMES

2010 ◽  
Vol 18 (04) ◽  
pp. 321-334 ◽  
Author(s):  
Y. XU ◽  
Z. C. ZHENG ◽  
D. K. WILSON
Keyword(s):  
Porous Medium ◽  
Noise Reduction ◽  
Low Frequency ◽  
High Order ◽  
Low Flow ◽  
Immersed Boundary ◽  
Wind Noise ◽  
High Order Scheme ◽  
Flow Resistivity ◽  
Wind Noise Reduction

The purpose of the study is to investigate the wind noise reduction provided by microphone windscreens at different frequencies of the impinging turbulence. The windscreen is assumed to be a cylindrically shaped porous medium. This paper uses a high-order scheme to improve the accuracy at the interface between air and porous medium. The computational scheme is based on a modified immersed-boundary method with distributed forcing terms. The simulation results show that, for low-frequency turbulence, the windscreens with low flow resistivity are more effective in noise reduction, while for high-frequency turbulence, the windscreens with high flow resistivity are more effective.

Low‐frequency wind noise reduction by spherical windscreens

2007 ◽  
Vol 121 (5) ◽  
pp. 3063-3063 ◽  
Author(s):  
Richard Raspet ◽  
Jeremy Webster ◽  
Jiao Yu
Keyword(s):  
Noise Reduction ◽  
Low Frequency ◽  
Wind Noise ◽  
Wind Noise Reduction

scholarly journals Comparison and Validation of Acoustic Response Models for Wind Noise Reduction Pipe Arrays

2017 ◽  
Vol 34 (2) ◽  
pp. 401-414 ◽  
Author(s):  
Julien Marty ◽  
Stéphane Denis ◽  
Thomas Gabrielson ◽  
Milton Garcés ◽  
David Brown
Keyword(s):  
Noise Reduction ◽  
Acoustic Response ◽  
Detection Capability ◽  
Wind Noise ◽  
Response Models ◽  
Operational Conditions ◽  
Measurement Systems ◽  
International Monitoring ◽  
Wind Noise Reduction ◽  
Acoustic Responses

AbstractThe detection capability of the infrasound component of the International Monitoring System (IMS) is tightly linked to the performance of its wind noise reduction systems. The wind noise reduction solution implemented at all IMS infrasound measurement systems consists of a spatial distribution of air inlets connected to the infrasound sensor through a network of pipes. This system, usually referred to as “pipe array,” has proven its efficiency in operational conditions. The objective of this paper is to present the results of the comparison and validation of three distinct acoustic response models for pipe arrays. The characteristics of the models and the results obtained for a defined set of pipe array configurations are described. A field experiment using a newly developed infrasound generator, dedicated to the validation of these models, is then presented. The comparison between the modeled and empirical acoustic responses shows that two of the three models can be confidently used to estimate pipe array acoustic responses. This study paves the way to the deconvolution of IMS infrasound data from pipe array responses and to the optimization of pipe array design to IMS applications.

New Systems for Wind Noise Reduction for Infrasonic Measurements

2018 ◽  
pp. 91-124 ◽  
Author(s):  
Richard Raspet ◽  
John-Paul Abbott ◽  
Jeremy Webster ◽  
Jiao Yu ◽  
Carrick Talmadge ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Wind Noise ◽  
Wind Noise Reduction

scholarly journals Wind noise reduction in a non-porous subsurface windscreen

2012 ◽  
Vol 132 (3) ◽  
pp. 1905-1905 ◽  
Author(s):  
Allan J. Zuckerwar ◽  
Qamar A. Shams ◽  
Keith Knight
Keyword(s):  
Noise Reduction ◽  
Wind Noise ◽  
Wind Noise Reduction
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