Optimal linear array heading in a directional noise field

Approved for public release; distribution is unlimited. === This thesis discusses a procedure that optimizes the signal-to-noise ratio (SNR) detected by a linear array in a directional ambient noise field. The SNR can be optimized by minimizing the ambient noise detected by the array. For a given ta...

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Bibliographic Details
Main Author: McDonnell, David C.
Other Authors: Coppens, Alan B.
Language:en_US
Published: Monterey, California. Naval Postgraduate School 2013
Online Access:http://hdl.handle.net/10945/30612
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-306122015-01-26T15:55:35Z Optimal linear array heading in a directional noise field McDonnell, David C. Coppens, Alan B. Ziomek, Lawrence J. Antisubmarine Warfare Academic Group Approved for public release; distribution is unlimited. This thesis discusses a procedure that optimizes the signal-to-noise ratio (SNR) detected by a linear array in a directional ambient noise field. The SNR can be optimized by minimizing the ambient noise detected by the array. For a given target location, each possible heading of the array centers the ambiguous beam of the array at a different true bearing. Therefore, each heading of the array will receive a different ambient noise level. An optimal heading can be obtained which maximizes the SNR received by the array. For all possible headings the beam pattern of the array must be determined and combined with the ambient noise field to determine the noise level detected. This thesis discusses the theory involved in calculating the ambient noise levels detected for each heading and provides a computer program which performs the calculations for a particular array. Linear arrays, Directional ambient noise, Optimal signal-noise ratio. 2013-04-11T22:12:23Z 2013-04-11T22:12:23Z 1992-09 Thesis http://hdl.handle.net/10945/30612 en_US This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, it may not be copyrighted. Monterey, California. Naval Postgraduate School
collection NDLTD
language en_US
sources NDLTD
description Approved for public release; distribution is unlimited. === This thesis discusses a procedure that optimizes the signal-to-noise ratio (SNR) detected by a linear array in a directional ambient noise field. The SNR can be optimized by minimizing the ambient noise detected by the array. For a given target location, each possible heading of the array centers the ambiguous beam of the array at a different true bearing. Therefore, each heading of the array will receive a different ambient noise level. An optimal heading can be obtained which maximizes the SNR received by the array. For all possible headings the beam pattern of the array must be determined and combined with the ambient noise field to determine the noise level detected. This thesis discusses the theory involved in calculating the ambient noise levels detected for each heading and provides a computer program which performs the calculations for a particular array. Linear arrays, Directional ambient noise, Optimal signal-noise ratio.
author2 Coppens, Alan B.
author_facet Coppens, Alan B.
McDonnell, David C.
author McDonnell, David C.
spellingShingle McDonnell, David C.
Optimal linear array heading in a directional noise field
author_sort McDonnell, David C.
title Optimal linear array heading in a directional noise field
title_short Optimal linear array heading in a directional noise field
title_full Optimal linear array heading in a directional noise field
title_fullStr Optimal linear array heading in a directional noise field
title_full_unstemmed Optimal linear array heading in a directional noise field
title_sort optimal linear array heading in a directional noise field
publisher Monterey, California. Naval Postgraduate School
publishDate 2013
url http://hdl.handle.net/10945/30612
work_keys_str_mv AT mcdonnelldavidc optimallineararrayheadinginadirectionalnoisefield
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