Open AccessComparison and Validation of Acoustic Response Models for Wind Noise Reduction Pipe Arrays
Author(s) -
Julien Marty,
Stéphane Denis,
Thomas B. Gabrielson,
Milton Garcés,
David Brown
Publication year - 2017
Publication title -
journal of atmospheric and oceanic technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.774
H-Index - 124
eISSN - 1520-0426
pISSN - 0739-0572
DOI - 10.1175/jtech-d-16-0118.1
Subject(s) - infrasound , noise (video) , acoustics , deconvolution , reduction (mathematics) , noise reduction , computer science , wind speed , environmental science , geology , physics , oceanography , geometry , mathematics , algorithm , artificial intelligence , image (mathematics)
The 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.