Studies of target detection algorithms that use polarimetric radar data

Algorithms are described which make use of polarimetric radar information in the detection and discrimination of targets in a ground clutter background. The optimal polarimetric detector (OPD) is derived. This algorithm processes the complete polarization scattering matrix (PSM) and provides the bes...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 1989-03, Vol.25 (2), p.150-165
Main Authors: Novak, L.M., Sechtin, M.B., Cardullo, M.J.
Format: Article
Language:English
Subjects:
Applied sciences
Detectors
Exact sciences and technology
Matched filters
Object detection
Polarization
Predictive models
Radar clutter
Radar detection
Radar polarimetry
Radar scattering
Radiolocalization and radionavigation
Telecommunications
Telecommunications and information theory
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Summary:Algorithms are described which make use of polarimetric radar information in the detection and discrimination of targets in a ground clutter background. The optimal polarimetric detector (OPD) is derived. This algorithm processes the complete polarization scattering matrix (PSM) and provides the best possible detection performance from polarimetric radar data. Also derived is the best linear polarimetric detector, the polarimetric matched filter (PMF), and the structure of this detector is related to simple polarimetric target types. New polarimetric target and clutter models are described and used to predict the performance of the OPD and the PME. The performance of these algorithms is compared with that of simpler detectors that use only amplitude information to detect targets. The ability to discriminate between target types by exploring differences in polarimetric properties is discussed.< >
ISSN:0018-9251
1557-9603
DOI:10.1109/7.18677