New SAR Processor Based on Matched Subspace Detectors

This paper deals with a new synthetic aperture radar (SAR) processor based on a subspace detector designed for man-made target (MMT) detection. As MMTs are more accurately described by a set of canonical elements than with isotropic points, we develop a new algorithm which aims at using new models,...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2009-01, Vol.45 (1), p.221-236
Main Authors: Durand, R., Ginolhac, G., Thirion, L., Forster, P.
Format: Article
Language:English
Subjects:
Aircraft components
Algorithms
Computational complexity
Detectors
Electronic systems
Filter bank
Laboratories
Mathematical models
Microprocessors
Object detection
Radar detection
Radar scattering
Robustness
Signal processing algorithms
Subspaces
Synthetic aperture radar
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Summary:This paper deals with a new synthetic aperture radar (SAR) processor based on a subspace detector designed for man-made target (MMT) detection. As MMTs are more accurately described by a set of canonical elements than with isotropic points, we develop a new algorithm which aims at using new models, instead of the isotropic point model commonly used in SAR processors. A subspace detector matched to canonical elements is included in the SAR processing. The implementation and the optimization of subspace detector SAR (SDSAR) algorithm is described. Simple examples of MMT detection in simulations and real data with a target hidden in a forest show the power of our approach. The SDSAR algorithm is shown to be the first robust and tractable algorithm relying on realistic scattering assumptions about the target.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2009.4805275