CB-SIGMA
Key Features
- 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.
CB-SIGMA uses measurements from a range of networked sensors to aggregate all raw and processed sensor-level data into an intelligent framework that tracks the probability of a threat while estimating key threat parameters including spatio-temporal plume evolution and release location.
CB-SIGMA reduces operational false alarms by ~ 3 orders of magnitude over single sensor performance. It enables chemical and biological sensor platforms to operate at increased sensitivity levels by fully mitigating false and clutter alarms at the network level.
