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Massachusetts Institute of Technology and Woods Hole Oceanographic Institution

Evaluation of vector sensors for adaptive equalization in underwater acoustic communication

Abstract

dc:description.abstract

Underwater acoustic communication is an extremely complex field that faces many challenges due to the time-varying nature of the ocean environment. Vector sensors are a proven technology that when utilizing their directional sensing capabilities allows us to minimize the effect of interfering noise sources. A traditional pressure sensor array has been the standard for years but suffers at degraded signal to noise ratios (SNR) and requires maneuvers or a lengthly array aperture to direction find. This thesis explores the effect of utilizing a vector sensor array to steer to the direction of signal arrival and the effect it has on equalization of the signal at degraded SNRs. It was demonstrated that utilizing a single vector sensor we were able steer to the direction of arrival and improve the ability of an equalizer to determine the transmitted signal. This improvement was most prominent when the SNR was degraded to levels of 0 and 10 dB where the performance of the vector sensor outperformed that of the pressure sensor in nearly 100% of cases. Finally, this performance improvement occured with a savings in computational expense.

Degree

thesis:*
Grantor dc:publisher
Massachusetts Institute of Technology and Woods Hole Oceanographic Institution
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lewis, Matthew R.

Subjects

dc:subject × 3

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:darchive.mblwhoilibrary.org:1912/6917

Chain of custody

source
Harvested from
Woods Hole Oceanographic Institute
Base URL
darchive.mblwhoilibrary.org/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Lewis, Matthew R.. Evaluation of vector sensors for adaptive equalization in underwater acoustic communication. Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 2014. https://hdl.handle.net/1912/6917