Publication:
Optimum signal processing in distributed sensor systems

Loading...
Thumbnail Image
Authors
Al-Bassiouni, Abdel-Aziz Mahmoud
Subjects
Quantized Detection
Distributed Sensor Network
Distributed Detection
Data Fusion
Team Decision
Advisors
Moose, Paul H.
Cristi, Roberto
Therrien, Charles W.
Schoenstadt, Arthur L.
Gaver, Donald P.
Date of Issue
1987-12
Date
Publisher
Monterey, California: U.S. Naval Postgraduate School
Language
en_US
Abstract
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
Type
Thesis
Description
Series/Report No
Department
Electrical Engineering
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
142 p.: 28 cm.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Collections