Ground Moving Target Indicator (GMTI) Radar Discrimination of Combatants versus Animals in Severe Clutter
GMTI radars are excellent at detecting slowly moving targets, but typically do not have the capability to classify the moving object. For FOPEN radars such as FORESTER, the operators would like to know if targets are wild animals, pack animals, indigenous humans or dismounted combatants. Or if a moving group of animals is a wild pack or a group of dismounts. At the beginning of Phase II, TSC will collect clutter-free UHF radar data of a large bird, deer, donkey, and arboreal primate, engaging in a variety of natural movements under control of licensed handlers. Moving human subjects will be measured with the same radar. Realistic foliage clutter and attenuation will be added in simulation to the collected pristine radar signatures. Our biologist will provide track data on a variety of relevant species, and we will develop and test algorithms that discriminate dismounts from various types of animals. Using a combination of measured and simulated micro- and macro-level animal and human movement data, algorithms will be developed that exploit both the micro-doppler signature and the tracker-level data to properly associate, track, and classify moving targets, and discriminate humans and animals.
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Technology Service Corporation
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