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CBRN Sensor and Sensor Netting Algorithms

Award Information

Agency:
Department of Defense
Branch:
Office for Chemical and Biological Defense
Award ID:
91460
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
C091-110-0141
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Torch Technologies, Inc.
4035 Chris Drive Suite C Huntsville, AL 35802-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: CBRN Sensor and Sensor Netting Algorithms
Agency / Branch: DOD / CBD
Contract: W911SR-09-P-0039
Award Amount: $70,000.00
 

Abstract:

This Phase I SBIR proposal presents the Torch Technologies approach for the development of advanced, innovative, robust real-time algorithms for the integration of passive and active electro-optical sensor detections and identification information. In our proposal, we detail our ideas regarding the optimal fusion of Chemical Warfare (CW) agent sensor data within the innovative data fusion architecture developed by Torch Technologies for the U.S. Army Dugway Proving Ground (DPG). The proposed approach merges the DPG data fusion architecture, called ACRES (Advanced Chemical Release Evaluation System) with a Fourier Transform (FT) Raman spectrometer model and Ballistic Missile Defense (BMD) sensor network modules, all developed by Torch personnel during the past 10 years, into a single framework. The framework will be designed to support feasibility assessments of enhanced multi-sensor CW data fusion concepts. The primary objective of the Torch Phase I SBIR will be to implement a distributed CW sensor network emulation in order to evaluate the feasibility of enhanced multi-sensor CW data fusion using an ACRES CW Agent identification (ID) feature augmented cloud measurement data fusion process. We will do this using a representative DTRA CW agent sensor track correlation/netting scenario using simulated CW agent sensor data communicated to the sensor data fusion node over an emulation of a Joint Sensor Network. The primary innovation in the Torch proposed effort is to apply our ACRES high-dimensionality CW Agent cloud state vector estimation process as a means to optimize the DTRA CW defense multi-sensor data fusion process.

Principal Investigator:

Jim Schwaiger
Principal Investigator
2563196000
jim.schwaiger@torchtechnologies.com

Business Contact:

Kenneth Lones
Director of Contracts
2563196019
kenneth.lones@torchtechnologies.com
Small Business Information at Submission:

TORCH TECHNOLOGIES, INC.
4035 Chris Drive Suite C Huntsville, AL 35802

EIN/Tax ID: 731659533
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No