Optimum signal processing in distributed sensor systems

Optimum signal processing in distributed sensor systems

Approved for public release; distribution is unlimited === We consider the problem of detection of known signals in noise using quantized, discrete sensor observations. Optimal design of the quantizers at the sensor sites as well as the global fusion of the quantized observations is presented. Also...

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Main Author: Al-Bassiouni, Abdel-Aziz Mahmoud
Other Authors: Moose, Paul H.
Language:en_US
Published: Monterey, California: U.S. Naval Postgraduate School 2012
Online Access:http://hdl.handle.net/10945/22401
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-224012015-08-28T15:59:08Z Optimum signal processing in distributed sensor systems Al-Bassiouni, Abdel-Aziz Mahmoud Moose, Paul H. Naval Postgraduate School Naval Postgraduate School Electrical Engineering Approved for public release; distribution is unlimited We consider the problem of detection of known signals in noise using quantized, discrete sensor observations. Optimal design of the quantizers at the sensor sites as well as the global fusion of the quantized observations is presented. Also the equivalence between a team of two sensors and their fusion centre and another team of a primary decision maker and a second opinion is shown. Since the fusion of information is a main pillar of the thesis, an early chapter is devoted to the optimum fusion policy. Extension of the results to the case of vector sensor observations is also considered 2012-11-27T00:23:35Z 2012-11-27T00:23:35Z 1987-12 Thesis http://hdl.handle.net/10945/22401 en_US Monterey, California: U.S. Naval Postgraduate School
collection NDLTD
language en_US
sources NDLTD
description Approved for public release; distribution is unlimited === We consider the problem of detection of known signals in noise using quantized, discrete sensor observations. Optimal design of the quantizers at the sensor sites as well as the global fusion of the quantized observations is presented. Also the equivalence between a team of two sensors and their fusion centre and another team of a primary decision maker and a second opinion is shown. Since the fusion of information is a main pillar of the thesis, an early chapter is devoted to the optimum fusion policy. Extension of the results to the case of vector sensor observations is also considered
author2 Moose, Paul H.
author_facet Moose, Paul H.
Al-Bassiouni, Abdel-Aziz Mahmoud
author Al-Bassiouni, Abdel-Aziz Mahmoud
spellingShingle Al-Bassiouni, Abdel-Aziz Mahmoud
Optimum signal processing in distributed sensor systems
author_sort Al-Bassiouni, Abdel-Aziz Mahmoud
title Optimum signal processing in distributed sensor systems
title_short Optimum signal processing in distributed sensor systems
title_full Optimum signal processing in distributed sensor systems
title_fullStr Optimum signal processing in distributed sensor systems
title_full_unstemmed Optimum signal processing in distributed sensor systems
title_sort optimum signal processing in distributed sensor systems
publisher Monterey, California: U.S. Naval Postgraduate School
publishDate 2012
url http://hdl.handle.net/10945/22401
work_keys_str_mv AT albassiouniabdelazizmahmoud optimumsignalprocessingindistributedsensorsystems
_version_ 1716817632424886272

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