Field test on signal processing methods for passive FTIR remote sensing measurements

Passive FTIR remote sensing measurements were made to test real-time detection of an SF6 seeded stack plume using a probabilistic neural network (PNN) algorithm. The plume concentrations were determined using a classical least squares (CLS) algorithm and compared well with calculations using measured flow rates for the SF6 and the waste stream.