Buried unexploded ordnance identification via complex natural resonances

Author

Chen, Chi-Chih ; Peters, Leon, Jr.

Author_Institution

ElectroSci. Lab., Ohio State Univ., Columbus, OH, USA

Volume

45

Issue

11

fYear

1997

fDate

11/1/1997 12:00:00 AM

Firstpage

1645

Lastpage

1654

Abstract

A classification technique focused on the identification of buried unexploded ordnance (UXO) using complex natural resonance (CNR) signature is considered. The total least square (TLS) Prony´s (1795) method is used to extract CNRs from time-domain data, Full-scale UXO computational models and the body of revolution moment method (BORMM) code is used to obtain the backscattered fields, which are then used to give the theoretical free-space CNRs. Baum´s (1993) transformation is used to relate a CNR in a lossy simple medium to the corresponding CNR in free space. A practical UXO classification yields an estimate of the UXO length from its CNR information. Successful UXO classification examples from actual measured data are presented

Keywords

backscatter; electromagnetic fields; explosions; least squares approximations; method of moments; military equipment; object detection; object recognition; pattern classification; resonance; time-domain analysis; transforms; wires (electric); Baum´s transformation; PEC wires; Prony´s method; backscattered fields; body of revolution moment method; buried unexploded ordnance identification; classification technique; complex natural resonances; computational models; free-space CNR; lossy simple medium; measured data; time-domain data; total least squares; Electromagnetic scattering; Moment methods; Pollution measurement; Radar detection; Radar scattering; Resonance; Resonant frequency; Time domain analysis; Wavelength measurement; Wire;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/8.650076

Filename

650076