Performance analysis of subaperture processing using a large aperture planar towed array

Thesis (Ph. D.)--Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Ocean Engineering; and, the Woods Hole Oceanographic Institution), 2004.

Bibliographic Details
Main Author: Watson, Jennifer Anne, 1973-
Other Authors: Arthur Baggeroer.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2007
Subjects:
Online Access:http://hdl.handle.net/1721.1/39411
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author Watson, Jennifer Anne, 1973-
author2 Arthur Baggeroer.
author_facet Arthur Baggeroer.
Watson, Jennifer Anne, 1973-
author_sort Watson, Jennifer Anne, 1973-
collection MIT
description Thesis (Ph. D.)--Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Ocean Engineering; and, the Woods Hole Oceanographic Institution), 2004.
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spelling mit-1721.1/394112022-01-14T19:50:49Z Performance analysis of subaperture processing using a large aperture planar towed array Watson, Jennifer Anne, 1973- Arthur Baggeroer. Woods Hole Oceanographic Institution. Joint Program in Applied Ocean Physics and Engineering Woods Hole Oceanographic Institution Massachusetts Institute of Technology. Department of Ocean Engineering /Woods Hole Oceanographic Institution. Joint Program in Applied Ocean Science and Engineering. Ocean Engineering. Woods Hole Oceanographic Institution. GC7.1 .W37 2004 Sonar Thesis (Ph. D.)--Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Ocean Engineering; and, the Woods Hole Oceanographic Institution), 2004. Includes bibliographical references (v. 2, leaves 211-215). In recent years the focus of passive detection and localization of submarines has moved from the deep ocean into the littoral regions. the problem of passive detection in these regions is complicated by strong multipath propagation with high transmission loss. Large aperture planar arrays have the potential to improve detection performance due to their high resolution and high gain, but are suceptible to two main performance degradation mechanisms: limited spatial coherence of signals and nonstationarity of high bearing rate interference sources common in littoral regions of strategic importance. This thesis presents subarray processing as a method of improving passive detection performance using such large arrays. This thesis develops statistical models for the detection of performance of three adaptive, sample-covariance-based subarray processing algorithms which incorporate the effects of limited spatial coherence as well as finite snapshot support. The performance of the optimum processor conditioned on known data coveriances is derived as well for comparison. These models are then used to compare subarray algorithms and partitioning schemes in a variety of interference environments using plane wave and matched-field propagation models. (cont.) The analysis shows a tradeoff between the required adaptive degrees of freedom, snapshot support, and adaptive resolution. This thesis shows that for both plane-wave and matched-field processing, the Conventional-Then-Adaptive (CTA) algorithm optimizes this tradeoff most efficiently. Finally, a comparison of the CTA algorithm to beam-space adaptive processing shows that for moderate beam coverage, the subarray algorithm performs as well as or superior to the adaptive beamspace algorighm. by Jennifer Anne Watson. Ph.D. 2007-10-22T19:52:46Z 2007-10-22T19:52:46Z 2004 2004 Thesis http://hdl.handle.net/1721.1/39411 56356428 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 2 v. (215 leaves) application/pdf Massachusetts Institute of Technology
spellingShingle /Woods Hole Oceanographic Institution. Joint Program in Applied Ocean Science and Engineering.
Ocean Engineering.
Woods Hole Oceanographic Institution.
GC7.1 .W37 2004
Sonar
Watson, Jennifer Anne, 1973-
Performance analysis of subaperture processing using a large aperture planar towed array
title Performance analysis of subaperture processing using a large aperture planar towed array
title_full Performance analysis of subaperture processing using a large aperture planar towed array
title_fullStr Performance analysis of subaperture processing using a large aperture planar towed array
title_full_unstemmed Performance analysis of subaperture processing using a large aperture planar towed array
title_short Performance analysis of subaperture processing using a large aperture planar towed array
title_sort performance analysis of subaperture processing using a large aperture planar towed array
topic /Woods Hole Oceanographic Institution. Joint Program in Applied Ocean Science and Engineering.
Ocean Engineering.
Woods Hole Oceanographic Institution.
GC7.1 .W37 2004
Sonar
url http://hdl.handle.net/1721.1/39411
work_keys_str_mv AT watsonjenniferanne1973 performanceanalysisofsubapertureprocessingusingalargeapertureplanartowedarray