Direction of arrival estimation and self-calibration techniques using an array of acoustic vector sensors

Theory, algorithms and applications

Doctoral thesis (2022)

Authors

K. Ramamohan Signal Processing Systems - EEMCS
Research Group
Signal Processing Systems (EEMCS) (TU Delft)
Copyright: © 2022 K. Nambur Ramamohan
DOI: https://doi.org/10.4233/uuid:f5ab45a2-376b-48e7-b83d-55f755c12e3b
More Info
expand_more

Published Date

2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

Abstract

Microphones are the most popular devices used to convert sound into electrical signals. However, with the advent of sensor technology, transducers capable of measuring vector quantities are opening up many new possibilities. One such device is an acoustic vector sensor (AVS), which measures both acoustic pressure and particle velocity, and has shown promising results with distinct advantages. In this work, we explore the characteristics of AVS arrays and their variations in comparison to the conventional microphone arrays for the purpose of direction-of-arrival estimation of far-field sound sources. Furthermore, we also look into one of the practical aspects of calibrating the AVS arrays and propose novel techniques to address this issue.

Files

Dissertation_KPNR2022V2.pdf
(pdf | 20.6 Mb)
Unknown license