Radar target classification by natural resonances : system analysis

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Authors
Reddy, Peter C.
Subjects
Natural Resonances
Noncooperative Target Recognition
K-Pulse
Pole Extraction
Cadzow-Solomon
Advisors
Morgan, Michael A.
Date of Issue
1990-09
Date
1990-09
Publisher
Monterey California. Naval Postgraduate School
Language
Abstract
This thesis examines the system implementation considerations of a resonance based radar target classification system. The basis of the system is the aspect and excitation independent property of electromagnetic scattering from a conducting body. Such a system consists of two components: pole extraction and annihilation filtering. The algorithms investigated here for these purposes are the Cadzow-Solomon pole extraction algorithm and the K-Pulse annihilation filter. Additionally, an aspect-dependent annihilation filter based on an inverse ARMA model is introduced. The procedures are applied to noise polluted synthetic data, as well as scattering data collected for a thin-wire and silver coated 172 scale model aircraft.
Type
Thesis
Description
Series/Report No
Department
Electronic Warfare Academic Group
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
xii, 135 p.
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.
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