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Advanced Wavelength Tuners for Chem-Bio Detection Lasers

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911SR-11-C-0087
Agency Tracking Number: A11A-024-0330
Amount: $99,156.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A11a-T024
Solicitation Number: 2011.A
Timeline
Solicitation Year: 2011
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-09-08
Award End Date (Contract End Date): N/A
Small Business Information
32614 Coastsite Dr # 205
Rancho Palos Verdes, CA -
United States
DUNS: 826865086
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Louis Klaras
 Project Manager
 (310) 702-1572
 lfklaras@att.net
Business Contact
 Louis Klaras
Title: President
Phone: (310) 702-1572
Email: lfklaras@att.net
Research Institution
 SRI International
 David S PhD.
 
333 Ravenswood Avenue Mail stop: 306-17
Menlo Park, CA 94025-3453
United States

 (650) 859-2243
 Domestic Nonprofit Research Organization
Abstract

Active standoff detection of chemical and biological agents with lasers has proven to be very effective. Specific targets include chemical vapors, chemical aerosols, and biological particles. Most notably, the FAL (Frequency Agile Laser) sensor developed by ECBC (Edgewood Chemical Biological Center) has shown capability to detect all of these targets with a single device. Also, optical techniques in point sensors have also proven successful based on micro-lasers such as the QCL (Quantum Cascade Laser) and various solid state lasers with wavelength shifting by OPO (Optical Parametric Oscillation) and using the fundamentally the same phenomenologies of DISC (differential scattering) and DIAL (differential absorption lidar) as applied to FAL. These transmitters require unique wavelength tuners. The Phase I program will address novel approaches to the development of more compact, robust, rapid wavelength tuners with greater selectivity, angular resolution, and repeatability. This will significantly enhance the active standoff and point sensor capability by increasing the probability of detection, decreasing false alarm rates, and decreasing the time required for algorithmic analysis.

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

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