MODELING AND CHARACTERIZATION OF MEMS UNDERWATER ACOUSTIC SENSORS
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Authors
Dillman, Shannon L.
Advisors
Grbovic, Dragoslav
Durante Pereira Alves, Fabio
Second Readers
Subjects
micro-electro-mechanical systems
MEMS
sensors
underwater acoustics
signal-to-noise ratio
SNR
acoustic vector sensor
AVS
MEMS
sensors
underwater acoustics
signal-to-noise ratio
SNR
acoustic vector sensor
AVS
Date of Issue
2025-12
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
This project explores the application of existing micro-electro-mechanical systems (MEMS) acoustic sensors to lower-frequency, underwater domains. The sensors are configured as pressure-gradient microphones designed to operate near resonance, providing a dipole-like directional response while maintaining a higher signal-to-noise ratio (SNR) than conventional acoustic sensors. The goal of this thesis was to characterize these sensors in a new medium, which caused the frequency of operation to shift to lower values. Finite element simulation and laboratory and field experimentation were designed and executed to evaluate the sensor’s performance and survivability.This work proved that although the resulting sensors had lower sensitivity than in other media, this design is a viable option for underwater acoustic detection because it offers comparable performance with other researched underwater sensors while maintaining the designed directionality. Two of these sensors can be used in conjunction to form an acoustic vector sensor (AVS) with unambiguous 360 degrees coverage. Furthermore, the frequency range of operation is scalable by design, accommodating several different applications of naval interest. The continuity of this project can lead to the development of compact and directional underwater acoustic sensors.
Type
Thesis
Description
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Sponsors
ONR, Arlington, VA 22203
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Distribution Statement
Distribution Statement A. Approved for public release: Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
