Natural resonance extraction and annihilation filtering methods for radar target identification

This thesis represents an initial attempt to demonstrate aspect independent target identification of complex radar targets using annihilation filters based on the natural resonances of the targets. The Cadzow-Solomon signal processing algorithm is tested to determine its suitability for the task of extracting the poles from complex targets to a degree of accuracy required for successful implementation of an annihilation filtering target identification system. This testing was conducted through the use of noise polluted synthetic data as well as measured transient scattering data from thin-wire and silver coated scale model aircraft targets. The testing revealed that the Cadzow- Solomon algorithm can return pole clusters at false pole locations when processing the scattered returns from complex targets. Properties of annihilation filters which may affect their ability to discriminate complex targets are examined.

Department dc:contributor.department

Electrical and Computer Engineering

Grantor dc:publisher

Monterey, CA; Naval Postgraduate School

Year dc:date.issued

1990

Author dc:creator

• Murphy, Timothy J.

Advisor dc:contributor.advisor

• Morgan, Michael A.

Statement dc: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.

Handle dc:identifier.uri

https://hdl.handle.net/10945/34914

OAI identifier oai:identifier

oai:calhoun.nps.edu:10945/34914