CB Sensor Network Architecture Development Tool for Improved Probability of Cloud Intercept

Physical Sciences Inc. proposes to develop a software tool that is capable of defining the selection, composition, and placement of a constellation of standoff and point sensors for the protection of base facilities and forces deployed in the field. The constellation will be defined using an algorithm that optimizes the collective performance of the constituent sensors as a function of deployment need, geography, weather, threat models and required warning times. The approach is based on models that address coverage optimization under the constraint of sensor performance characteristics. Individual sensor performance data such as Pd and Pfa are generated based on known sensitivity, selectivity, vulnerability, and propensities for false alarm for each individual sensor due to likely environmental factors influencing the mission. The sensors to be incorporated in the model are represented by Point (LCD-3 for chemical detection and BAWS for bio detection) and Standoff (JSLSCAD/AIRIS-WAD for chemical detection and JSBSDS UV fluorescence and backscatter LIDAR for bio detection). The outcome will be a sensor deployment plan derived from simulations of CB cloud dispersion and sensor performance in a variety of battlespace conditions. The software tool will provide the end-user with a network performance prediction and confidence assessment on reported detections.