Advanced Chemical and Biological Sensing Network
Chemical and Biological Sensing Network
Suite of algorithms for generating an aggregate threat confidence and estimating source release conditions when employing a distributed network of chemical and biological sensors.
CB-SIGMA data fusion system is a persistent early-warning capability for the detection, identification and characterization of vapor and aerosolized chemical and biological plumes. The CB-SIGMA network is comprised of core detection, identification and plume tracking technologies and utilizes PSI’s DisperseNET, an advanced suite of algorithms that correlate spatio-temporal sensor responses with real-time physical dispersion modeling. The CB-SIGMA capability leverages DARPA’s DTECT architecture to achieve data transmission and real-time execution of several algorithmic layers, as well as provide a user display interface with access to threat decisions and plume characterization such as concentration contour evolution over time and release location estimates. The core function behind the employment of CB-SIGMA is to provide a network-level, fused decision on the probability of a threat when operating multiple chem/bio mobile or static sensors, while further reducing operational false or clutter alarms. Several instances of CB-SIGMA are already operationally deployed in support of key US urban assets.
- Uses a network of mobile and/or static CB-sensors to estimate the likelihood of an attack, the source, and the affected area.
- Incorporates advanced, near-real time plume propagation modeling to predict release dynamics and estimate the release location to within better than 50 meters.
- Tracks threat likelihood and yields reliable network-level threat alarms with an urban operational false alarm rate of < 1 in 1 month for a 4-sensor network.
Benefit to Warfighter