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Bayesian framework for three dimensional, near-field source localization using spherical harmonics
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Authors
Metzger, Thomas
Issue Date
2021-08
Type
Electronic thesis
Thesis
Thesis
Language
en_US
Keywords
Architectural sciences
Alternative Title
Abstract
Localization of sound sources relative to a receiver is of great interest in many acoustical applications. Within the near-field of a spherical array, spherical wave incidence can be assumed and both direction of arrival and radial distance information can be extrapolated. This work presents a two-tiered Bayesian framework, using spherical harmonics, through which the directions of arrival and radial distance of a single, or multiple sources in the near-field relative to a spherical microphone array receiver can be estimated. The first tier estimates the number of sources present in the sound field, while the second tier estimates the direction of arrival and radial distance parameters. A model for spherical wave incidence on a spherical array, based on spherical harmonic beamforming techniques, is formulated and analyzed. This work presents analysis of the Bayesian framework and and model to demonstrate the feasibility of model-based Bayesian inference for three dimensional source localization of one or more sources in complex noise environments.
Description
August2021
School of Architecture
School of Architecture
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY