A new high-resolution direction finding architecture using photonics and neural network signal processing for miniature air vehicle applications
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Authors
Humeur, Robert
Advisors
Pace, Phillip E.
Second Readers
Iatrou, Steven J.
Subjects
direction finding
DF
artificial neural network
ANN
multi-layer perceptron
MLP
photonics
modulator
MZM
Mach-Zehnder
direction of arrival
DOA
DF
artificial neural network
ANN
multi-layer perceptron
MLP
photonics
modulator
MZM
Mach-Zehnder
direction of arrival
DOA
Date of Issue
2012-12
Date
Sep-15
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
This paper investigates the design of an interferometric direction finding receiver using photonic components for signal mixing and a multi-layer perceptron for data analysis. The complete system was tested with a 2.4 GHz continuous signal in an anechoic chamber. Test results showed that the compact antenna and receiver design was capable of measuring direction of arrival with 1° resolution over a 180° field of view while keeping mean error below 0.5°. It was also demonstrated that the design is insensitive to phase alignment of receiver channels, thus simplifying future receiver design. Improvements were recommended for a design theoretically capable of providing 0.25° angle resolution.
Type
Thesis
Description
Series/Report No
Department
Information Sciences (IS)
Organization
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NPS Report Number
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Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright is reserved by the copyright owner.
