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CBRN Sensor and Sensor Netting Algorithms

Award Information
Agency: Department of Defense
Branch: Office for Chemical and Biological Defense
Contract: W911SR-10-C-0038
Agency Tracking Number: C091-110-0009
Amount: $749,982.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: CBD09-110
Solicitation Number: 2009.1
Timeline
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-07-01
Award End Date (Contract End Date): 2012-07-01
Small Business Information
4850 Hahns Peak Drive Suite 200
Loveland, CO 80538
United States
DUNS: 956324362
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Randy Paffenroth
 Program Director
 (970) 461-2000
 randy.paffenroth@numerica.us
Business Contact
 Jeff Poore
Title: President
Phone: (970) 461-2000
Email: jeff.poore@numerica.us
Research Institution
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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