Sound source tracking (I)

This report studies the optimization of a default manufactured product known as MicroElectro-Mechanical Systems (MEMS) microphone arrays. In this project, MEMS microphone arrays were used to analyze and determine the direction of a sound source in an open environment which was previously conducted i...

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Bibliographic Details
Main Author: Lee, Ben
Other Authors: Ng Boon Poh
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/138647
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Institution: Nanyang Technological University
Language: English
Description
Summary:This report studies the optimization of a default manufactured product known as MicroElectro-Mechanical Systems (MEMS) microphone arrays. In this project, MEMS microphone arrays were used to analyze and determine the direction of a sound source in an open environment which was previously conducted in an enclosed environment without high background noises. The software used to record and analyze the direction of the sound source were Audacity and MATLAB. Additionally, the type of algorithm that was implemented for this experiment are known as Capon’s Minimum Variance Distortionless Response (MVDR) and it was used to estimate the Direction of Arrival (DOA) of the sound source. The experimental result shows that the default setup that was previously tested in an enclosed environment was not ideal when it was placed in an open environment. Hence, changes have been made to increase the aperture distance between two adjacent MEMS microphones to 5cm from previously 1.5cm. The results obtained after the changes show an increase in directional estimation’s accuracy.