CBRN Sensor and Sensor Netting Algorithms

Award Information
Agency:
Department of Defense
Branch
Office for Chemical and Biological Defense
Amount:
$69,921.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
W911SR-09-P-0033
Award Id:
91456
Agency Tracking Number:
C091-110-0009
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
4850 Hahns Peak Drive, Suite 200, Loveland, CO, 80538
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
956324362
Principal Investigator:
Randy Paffenroth
Program Director
(970) 461-2422
randy.paffenroth@numerica.us
Business Contact:
Jeff Poore
Vice President/COO
(970) 461-2422
jeff.poore@numerica.us
Research Institute:
n/a
Abstract
Coordination and merging of multiple distributed sensors over a communications network can substantially improve estimates of the type and severity of potential hazards for command and control (C2) decision makers. These sensors include long range instruments such as radar, infrared (IR), electro-optical, and long wave hyper spectral; short range instruments such as Raman spectrometers; and a wide array of point sensors such as ion mobility spectrometers (IMS) and chemical-resistor arrays. IR spectrometers, IMS, and Raman Spectrometers have been particularly successful at chemical detection in the past and will thus be a focus of this effort. However, in order to fully utilize this rich collection of data for threat detection and characterization, advanced algorithms are required for data fusion as such fusion is an important part of C2 decision making in WMD scenarios. Herein we propose a system for robustly computing the appropriate ambiguity measures for advanced data fusion algorithms.

* information listed above is at the time of submission.

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