Direction of arrival estimation and self-calibration techniques using an array of acoustic vector sensors: Theory, algorithms and applications

K. Nambur Ramamohan

Research output: ThesisDissertation (TU Delft)

23 Downloads (Pure)

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.
Original languageEnglish
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • Leus, G.J.T., Supervisor
Award date8 Jun 2022
Print ISBNs978-94-6366-556-8
DOIs
Publication statusPublished - 2022

Keywords

  • acoustic vector sensor
  • direction-of-arrival
  • self-calibration
  • array signal processing
  • spatial under-sampling
  • Cramér-Rao lower bound

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