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Proceedings Paper

Direct optimization of LWIR systems for maximized detection range and minimized size and weight
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Paper Abstract

With reductions in microbolometer size and cost, long-wave infrared (LWIR) systems are increasingly being developed for platforms with challenging size, weight, power, and cost (SWAP-C) constraints, such as helmet-mounted systems and unmanned vehicles. Past optimization of imaging systems toward the simultaneous objectives of improved stand-off detection and low size, weight, and power required an iterative, multi-disciplinary design process. Here we demonstrate the direct optimization of the full LWIR system model including the optics, sensor, signal processing, and display degrees of freedom with system level metrics including SWAP-C and detection range. The end result is a system with superior size and weight for a given detection range.

Paper Details

Date Published: 21 May 2014
PDF: 12 pages
Proc. SPIE 9100, Image Sensing Technologies: Materials, Devices, Systems, and Applications, 91000M (21 May 2014); doi: 10.1117/12.2053785
Show Author Affiliations
Rob Bates, FiveFocal LLC (United States)
Kenneth Kubala, FiveFocal LLC (United States)

Published in SPIE Proceedings Vol. 9100:
Image Sensing Technologies: Materials, Devices, Systems, and Applications
Nibir K. Dhar; Achyut K. Dutta, Editor(s)

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