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

Rob Bates; Kenneth Kubala

doi:10.1117/12.2053785

21 May 2014 Direct optimization of LWIR systems for maximized detection range and minimized size and weight

Rob Bates, Kenneth Kubala

Proceedings Volume 9100, Image Sensing Technologies: Materials, Devices, Systems, and Applications; 91000M (2014) https://doi.org/10.1117/12.2053785
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Rob Bates and Kenneth Kubala "Direct optimization of LWIR systems for maximized detection range and minimized size and weight", Proc. SPIE 9100, Image Sensing Technologies: Materials, Devices, Systems, and Applications, 91000M (21 May 2014); https://doi.org/10.1117/12.2053785

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available