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Massachusetts Institute of Technology

Analysis of dynamic acoustic source positioning : an autonomous swarm approach

Abstract

dc:description.abstract

As underwater autonomous vehicles become more prevalent, and their missions more complex, a novel means of underwater acoustic communication with respect to source positioning must be developed that takes advantage of the unique nature of sound propagation through the underwater environment while minimizing the number and energy use of the source agents. Through the use of an objective function, a dynamic positioning algorithm was developed to reduce transmission loss from the source agent to a given target as it changes position over time. Several operating profiles, that govern the behavior of interacting source agents through modification of the objective function, were also developed. Simulations in several operating environments show that a single dynamic source agent results in overall reduced transmission loss when compared to a static source at a fixed depth over many credible operating scenarios with a target is at slow speeds and moderate initial depth separation. The use of several source agents in a depth zone operating profile yields better results for targets at higher velocity or operating in areas of deeper water.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • DiVittore, Matthew Ercoli Martin
Advisor dc:contributor.advisor
  • Henrik Schmidt.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/111764
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/111764

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
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citation

DiVittore, Matthew Ercoli Martin. Analysis of dynamic acoustic source positioning : an autonomous swarm approach. Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111764