DYNAMICALLY PROGRAMMABLE AND ADAPTIVE MULTI-BAND COMPRESSIVE IMAGING SYSTEM

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$100,000.00
Award Year:
2011
Program:
STTR
Phase:
Phase I
Contract:
W911NF-11-C-0242
Award Id:
n/a
Agency Tracking Number:
A11A-007-0512
Solicitation Year:
2011
Solicitation Topic Code:
A11a-T007
Solicitation Number:
2011.A
Small Business Information
112 East Lincoln, Bozeman, MT, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
788293244
Principal Investigator:
Randy Reibel
Chief Operations Officer
(406) 585-2774
reibel@bridgerphotonics.com
Business Contact:
Peter Roos
Chief Executive Officer
(406) 585-2774
roos@bridgerphotonics.com
Research Institution:
University of Arizona
Amit Ashok
College of Engineering
Bldg 72, Rm 303
Tucson, AZ, 85721-
(520) 626-4328
Nonprofit college or university
Abstract
Bridger Photonics and the University of Arizona will develop a passive multi-band compressive sensor for imaging and object recognition applications. The Army has identified a need for multi-band imagery for intelligence, surveillance and reconnaissance missions among others. Multi-band systems offer enhanced discrimination capability and the ability to perform in adverse conditions (at night, smoke, fog, etc.). Compressive sensing is ideally suited to multi-band imaging systems as it offers improved performance while reducing size, weight and power, as well as hardware and data bandwidth requirements. Compressive sensing is particularly beneficial when some of the desired spectral bands lie outside of the visible spectrum as focal plane arrays, especially in the mid-wave and long-wave IR bands, have poor performance and high costs. Furthermore, the on-going need for improved performance and increased functionality within shrinking form factors renders compressive sensing a logical choice for future systems. Under this effort, the team will examine advanced algorithms and architectures for compressive sensing, provide proof-of-concept adaptive and programmable multi-band hardware demonstrations, and design a portable and adaptive multi-band compressive imaging system and determine its feasibility for implementation during a Phase II effort.

* information listed above is at the time of submission.

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