You are here

AOTF Based Imaging Sensor for Enhanced Stand-off Chemical Detection

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911SR-06-C-0011
Agency Tracking Number: C031-0262
Amount: $729,672.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: CBD03-102
Solicitation Number: 2003.1
Timeline
Solicitation Year: 2003
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-02-01
Award End Date (Contract End Date): 2008-01-31
Small Business Information
20 New England Business Center
Andover, MA 01810
United States
DUNS: 073800062
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Bogdan Cosofret
 Principal Scientist
 (978) 689-0003
 cosofret@psicorp.com
Business Contact
 B. Green
Title: President, R&D Operations
Phone: (978) 689-0003
Email: green@psicorp.com
Research Institution
N/A
Abstract

Physical Sciences Inc. proposes to develop a multispectral imaging system for operation in the 8-11 micron infrared region based on the use of a new type of acousto-optic tunable filter (AOTF). The system will be used to remotely identify and track threat agent and toxic industrial chemical clouds from both stationary and moving platforms. The sensor will be able to detect these clouds with a column density as low as 135 mg/m2, while achieving a spectral resolution of less than 15 cm-1 and an NESR of 2 to 5 µW cm-2 sr-1 µm-1. This effort is in direct support of the mission of the Joint Program Executive Office for Chemical and Biological Defense (JPEO-CBD), which is currently engaged in the development of the Joint Service Lightweight Standoff Chemical Agent Detector (JSLSCAD). The AOTF technology to be exploited under this effort addresses two prominent deficiencies in the single pixel FTIR-based systems under consideration for Increment 2: 1) a large field of view that does not permit accurate detection of the smaller tactical agent clouds that are the current threat; and 2) a slow acquisition time that hinders on the move detection and the use of imaged-based data to estimate the background.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government