Radar target identification by natural resonances: evaluation of signal processing algorithms
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Authors
Lazarakos, Gregory A.
Subjects
Natural resonances
Non-cooperative target resolution
Pole extraction
Kumaresan-Tufts algorithm
Cadzow-Solomon algorithm
Non-cooperative target resolution
Pole extraction
Kumaresan-Tufts algorithm
Cadzow-Solomon algorithm
Advisors
Morgan, Michael A.
Date of Issue
1991-09
Date
September 1991
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
When a radar pulse impinges upon a target, the resultant scattering process can be solved as a linear time-invariant (LTI) system problem. The system has a transfer function with poles and zeros. Previous work has shown that the poles are independent of the exciting waveform and target's aspect, but they are dependent on the targets' structure and geometry. This thesis evaluates the resonance estimation performance of two signal processing techniques: The Kumaresan-Tufts algorithm and the Cadzow-Solomon algorithm. Both algorithms are programmed using MATLAB. Test data used to evaluate these algorithms includes synthetic and integral equation generated signals, with and without additive noise, in addition to new experimental scattering data from a thin wire, aluminum spheres and scale model aircraft.
Type
Thesis
Description
Series/Report No
Department
Electronic Warfare Academic Group
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
99 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright is reserved by the copyright owner