Standoff Chemical/Biological Sensor Detection Algorithms

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.