Standoff Chemical/Biological Sensor Detection Algorithms

Award Information
Agency: Department of Defense
Branch: Army
Contract: DAAD1303C0072
Agency Tracking Number: A2-0807
Amount: $0.00
Phase: Phase I
Program: STTR
Awards Year: 2003
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
4221 Mesa St., Torrance, CA, 90505
DUNS: 100950521
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 David Cohn
 (310) 378-4961
Business Contact
 Yoshiko Yoon
Title: Chief Finance Officer
Phone: (310) 378-4961
Research Institution
 Rachel Stahl
 333 Ravenswood Ave.
Menlo Park, CA, 94025
 (650) 859-4694
 Domestic nonprofit research organization
The Phase I program objectives were successfully completed. In addition, novel ideas were developed that will be of use in the Phase II program and in the field of algorithm development and sensor characterization in the laboratory. Work on new algorithmswas initiated to optimize wavelength selection for vapor and aerosol detection, a detailed design for obtaining sensor detection statistics in the laboratory was developed, a detailed survey of methods for detection of toxic industrial compounds wascompleted, and a detailed conceptual design for a new approach to obtaining a wide spectrum DISC and DIAL data base within the laboratory was completed. In Phase II, the work on algorithm development will continue. A laboratory sensor testbed will befabricated with which to explore sources of sensor noise and detection statistics and to obtain a data base for algorithm testing. The Phase II work will result in development of a robust algorithm for wavelength selection optimization taking into accountatmospheric propagation, sensor characteristics, and topographic target effects and it will provide a fundamental understanding of sensor noise sources. These results will represent an important step in development of advanced chemical sensor systems forthe battlefield and for civil defense. The proposed work will provide important algorithms and a sensor data base necessary to the design and operation of advanced laser standoff chemical sensors. This includes long range, fixed site sensors and near tomoderate range systems that can be made manportable or mounted on unmanned aerial vehicles. In addition to military missions, sensors of these types will find important commercial applications in civil defense, material and food processing, and air qualitymonitoring.

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

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