Characterization of diffusivity based on spherical array processing

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The purpose of this study is to assess the diffuse field conditions in a reverberant space using a sound field reconstruction method based on spherical microphone array measurements. Spherical microphone arrays are particularly well suited for applications in non-anechoic enclosures, where the sound waves impinge on the array from multiple directions, as they have convenient properties such as omnidirectionality and compensable scattering from the rigid sphere. The proposed methodology makes use of a spherical equivalent source method (S-ESM) to reconstruct the sound field over a three-dimensional domain and consequently examine some of its fundamental properties: spatial distribution of sound pressure levels, particle velocity and sound intensity. The study allows for visualization of the intensity field inside a reverberant space, and successfully illustrates the behavior of the sound field in such an environment. This initial investigation shows the validity of the suggested processing and reveals interesting perspectives for future work. Ultimately, the aim is to define a proper and reliable measure of the diffuse sound field conditions in a reverberation chamber, with the prospect of improving the accuracy of sound absorption, sound power, and transmission loss measurements.
Original languageEnglish
Title of host publicationProceedings of inter.noise 2015
Number of pages12
Publication date2015
Publication statusPublished - 2015
Event44th International Congress and Exposition on Noise Control Engineering - San Francisco , United States
Duration: 9 Aug 201512 Aug 2015
Conference number: 44

Conference

Conference44th International Congress and Exposition on Noise Control Engineering
Number44
Country/TerritoryUnited States
CitySan Francisco
Period09/08/201512/08/2015

Fingerprint

Dive into the research topics of 'Characterization of diffusivity based on spherical array processing'. Together they form a unique fingerprint.

Cite this