Time Correlation Enhanced Stand Off Raman Detection

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,996.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
W911NF-06-C-0039
Agency Tracking Number:
A052-038-1981
Solicitation Year:
2005
Solicitation Topic Code:
A05-038
Solicitation Number:
2005.2
Small Business Information
INTELLIGENT OPTICAL SYSTEMS, INC.
2520 W. 237th Street, Torrance, CA, 90505
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
033449757
Principal Investigator:
Glenn Bastiaans
Senior Scientist
(310) 530-7130
sbirproposals@intopsys.com
Business Contact:
Lothar Kempen
Vice President, R&D
(310) 530-7130
lkempen@intopsys.com
Research Institution:
n/a
Abstract
Intelligent Optical Systems (IOS) proposes to develop a novel, highly sensitive stand-off detector for trace amounts of explosives. The most promising stand-off detection schemes for explosive residues are optical in nature but are limited in both sensitivity and range. The essential problem is in the light detection components and the signal processing algorithms, which do not allow sufficient signal to noise discrimination. Applying IOS' experience in Optical Time Domain Reflectometry (OTDR) signal processing, it will be possible to extend the sensitivity of existing stand-off Raman spectroscopy residue detection systems by two orders of magnitude, extending the stand-off detection range by as much as an order of magnitude. Principal component analysis of the spectra, which IOS is already applying to concealed explosives detection, will provide rapid and unambiguous identification of even multiple component explosives residue. What distinguishes IOS is the way that IOS processes OTDR signals. It has already been shown that stand-off Raman spectroscopy works for explosive residue detection, though it currently lacks sensitivity. OTDR signal processing is also well known. IOS will combine these two approaches, and demonstrate that, by using time-correlation spectroscopy, we can digitally extract extremely small signals from a background many orders of magnitude larger.

* information listed above is at the time of submission.

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