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

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dc.contributor.advisor Arthur Baggeroer. en_US
dc.contributor.author Watson, Jennifer Anne, 1973- en_US
dc.contributor.other Woods Hole Oceanographic Institution. en_US
dc.date.accessioned 2007-10-22T19:52:46Z
dc.date.available 2007-10-22T19:52:46Z
dc.date.copyright 2004 en_US
dc.date.issued 2004 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/39411
dc.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. en_US
dc.description Includes bibliographical references (v. 2, leaves 211-215). en_US
dc.description.abstract 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. en_US
dc.description.abstract (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. en_US
dc.description.statementofresponsibility by Jennifer Anne Watson. en_US
dc.format.extent 2 v. (215 leaves) en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights 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. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582
dc.subject /Woods Hole Oceanographic Institution. Joint Program in Applied Ocean Science and Engineering. en_US
dc.subject Ocean Engineering. en_US
dc.subject Woods Hole Oceanographic Institution. en_US
dc.subject.lcc GC7.1 .W37 2004 en_US
dc.subject.lcsh Sonar en_US
dc.title Performance analysis of subaperture processing using a large aperture planar towed array en_US
dc.type Thesis en_US
dc.description.degree Ph.D. en_US
dc.contributor.department Joint Program in Applied Ocean Science and Engineering. en_US
dc.contributor.department Massachusetts Institute of Technology. Dept. of Ocean Engineering. en_US
dc.contributor.department Woods Hole Oceanographic Institution. en_US
dc.identifier.oclc 56356428 en_US


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