Real-Time Chemometrics and Sensor Fusion (RT-CSF) Technology

We will exploit chemometric and advanced multivariate statistical analysis-based spectral signature signal processing techniques to perform autonomous explosives and chem-bio detection in real-time to increase the probability of detection and lower the rate of false positives. Our system will use multivariate statistical analysis (i.e. chemometrics) algorithms to perform autonomous detection. The decision-making engine will employ a Bayesian data fusion algorithm that combines individual sensor spectral signatures captured using Raman and LIBS techniques to achieve overall probability of detection and probability of false alarm performance that exceeds the performance of the individual sensing strategies operated in the stand-alone mode.