Performance analysis and enhancements for the music sub-space direction-finding algorithm in the presence of wideband signals
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Authors
Straessle, Gregory C.
Subjects
ambiguity
array
direction finding
geolocation
interferometry
MUSIC
multiple signals classification
sparse array
subspace methods
wideband
array
direction finding
geolocation
interferometry
MUSIC
multiple signals classification
sparse array
subspace methods
wideband
Advisors
Loomis, Herschel H., Jr.
Kragh, Frank
Date of Issue
2014-12
Date
Dec-14
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The collection of signals intelligence via passive direction finding and geolocation of radio frequency signals is of great concern to the military for its contribution to the development of battlespace awareness. Basic subspace direction finding techniques provide a method of determining the direction-of-arrival (DOA) of multiple signals on an array of receivers, but they have an inherent limitation in that they are narrowband by design. The impact of various signal frequencies, bandwidths, and signal to noise ratios present in the source signals received by a sparse array using the multiple signals classification (MUSIC) subspace direction-finding algorithm are evaluated in this thesis. Additionally, two performance enhancements are presented: one that reduces the MUSIC computational load and one that provides a method of utilizing collector motion to resolve DOA ambiguities.
Type
Thesis
Description
Includes supplementary material
Series/Report No
Department
Electical and Computer Engineering
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.