Target identification and navigation performance modeling of a passive millimeter wave imager.
Human task performance using a passive interferometric millimeter wave imaging sensor is modeled using a task performance modeling approach developed by the U.S. Army Night Vision and Electronic Sensors Directorate. The techniques used are illustrated for an imaging system composed of an interferometric antenna array, optical upconversion, and image formation using a shortwave infrared focal plane array. Two tasks, target identification and pilotage, are modeled. The effects of sparse antenna arrays on task performance are considered. Applications of this model include system trade studies for concealed weapon identification, navigation in fog, and brownout conditions.
Jacobs
Eddie L
EL
Department of Electrical and Computer Engineering, University of Memphis, Memphis, Tennessee 38152, USA. eljacobs@memphis.edu
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Orges
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