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dc.contributor.advisorHenrik Schmidt.en_US
dc.contributor.authorBosché, Kerry Noonanen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2015-12-03T20:53:37Z
dc.date.available2015-12-03T20:53:37Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/100103
dc.descriptionThesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 61-62).en_US
dc.description.abstractShip-towed arrays have been integral to Navy combatant operations for many decades. The continual advancement of towed array technology has been continually driven by the need for high sensitivity, low self-noise, and response across a wide range of frequencies. Robotic autonomy, as applied to acoustic sensors, is currently operationally limited to deployment of traditional arrays from semi-submersible tow vehicles. while such a configuration facilitates flexibility in array placement and a measure of stealth, it is an intermediate step toward fully-submerged, autonomous arrays. In contrast to a traditional hard-wired acoustic array, a "virtual" array, in this thesis, consists of multiple, untethered, hydrophone-equipped autonomous underwater vehicles (AUVs) maintaining alignment by unspecified means. Due to the flexibility of its physical configuration, a virtual array can be both steered in angle and tuned via element spacing - to optimize response. This research explores the performance of a simple acoustic underwater virtual array (AUVA). Basic software for controlling an AUVA is implemented and evaluated using computer simulation of array navigation. Simulation of a narrowband, beamforming sonar is used to assess AUVA performance under the control scheme. This research provides a basis for expanding the use of autonomous vehicles for acoustic sensing.en_US
dc.description.statementofresponsibilityby Kerry Noonan Bosché.en_US
dc.format.extent62 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleEvaluation by simulation of an acoustic array composed of multiple autonomous vehiclesen_US
dc.typeThesisen_US
dc.description.degreeNav. E.en_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc929459111en_US


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