Acoustic vector-sensor array processing
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2010
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| Online Access: | http://hdl.handle.net/1721.1/60098 |
| _version_ | 1826214996846051328 |
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| author | Kitchens, Jonathan Paul |
| author2 | Arthur B. Baggeroer. |
| author_facet | Arthur B. Baggeroer. Kitchens, Jonathan Paul |
| author_sort | Kitchens, Jonathan Paul |
| collection | MIT |
| description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010. |
| first_indexed | 2024-09-23T16:14:46Z |
| format | Thesis |
| id | mit-1721.1/60098 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T16:14:46Z |
| publishDate | 2010 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/600982019-04-12T09:27:21Z Acoustic vector-sensor array processing Kitchens, Jonathan Paul Arthur B. Baggeroer. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student submitted PDF version of thesis. Includes bibliographical references (p. 145-148). Existing theory yields useful performance criteria and processing techniques for acoustic pressure-sensor arrays. Acoustic vector-sensor arrays, which measure particle velocity and pressure, offer significant potential but require fundamental changes to algorithms and performance assessment. This thesis develops new analysis and processing techniques for acoustic vector-sensor arrays. First, the thesis establishes performance metrics suitable for vector sensor processing. Two novel performance bounds define optimality and explore the limits of vector-sensor capabilities. Second, the thesis designs non-adaptive array weights that perform well when interference is weak. Obtained using convex optimization, these weights substantially improve conventional processing and remain robust to modeling errors. Third, the thesis develops subspace techniques that enable near-optimal adaptive processing. Subspace processing reduces the problem dimension, improving convergence or shortening training time. by Jonathan Paul Kitchens. Ph.D. 2010-12-06T16:36:29Z 2010-12-06T16:36:29Z 2010 2010 Thesis http://hdl.handle.net/1721.1/60098 679645164 eng M.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. http://dspace.mit.edu/handle/1721.1/7582 148 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Kitchens, Jonathan Paul Acoustic vector-sensor array processing |
| title | Acoustic vector-sensor array processing |
| title_full | Acoustic vector-sensor array processing |
| title_fullStr | Acoustic vector-sensor array processing |
| title_full_unstemmed | Acoustic vector-sensor array processing |
| title_short | Acoustic vector-sensor array processing |
| title_sort | acoustic vector sensor array processing |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/60098 |
| work_keys_str_mv | AT kitchensjonathanpaul acousticvectorsensorarrayprocessing |