Scattering center parameterization of wide-angle backscattered data using adaptive Gaussian representation

We present a scattering center extraction algorithm to parameterize the backscattered data from complex targets collected over large angular apertures. This parameterization is based on a scattering center model of the target, but includes an aspect-dependent amplitude function for each scattering c...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation 1997-11, Vol.45 (11), p.1664-1668
Main Authors: Trintinalia, L.C., Bhalla, R., Hao Ling
Format: Article
Language:English
Subjects:
Apertures
Data mining
Image coding
Image reconstruction
Radar imaging
Radar measurements
Radar scattering
Scattering parameters
Testing
Two dimensional displays
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Summary:We present a scattering center extraction algorithm to parameterize the backscattered data from complex targets collected over large angular apertures. This parameterization is based on a scattering center model of the target, but includes an aspect-dependent amplitude function for each scattering center. A two-dimensional (2-D) adaptive Gaussian representation (AGR) algorithm is used to extract the position and the amplitude function associated with each scattering center. The algorithm is tested with data generated by the Xpatch radar simulation code as well as chamber measurement data. The results show that a very good compression ratio can be achieved, resulting in a compact scattering center model of the target. Once such model is available, we can easily reconstruct range profiles and ISAR images at any aspect on the same plane with good accuracy.
ISSN:0018-926X
1558-2221
DOI:10.1109/8.650078