Data/Model Fusion for Missile Signature Modeling

This Phase I SBIR proposal describes the development of enhancements to a data/model fusion approach for threat missile signatures called model extrapolation (MODEX). MODEX compares plume signature predictions and sensor measurements using innovative data selection and weighting techniques to derive extrapolation factors, which anchor the predictions to the data. These factors are then used at off-measurement conditions to create a database of signatures at all possible viewing conditions, flight parameters and spectral regions. The fusion approach builds upon the development of in-band MODEX signatures which captures the radiating phenomena within a spectral region and adding temporal variations and spectral shapes to fully characterize the threat signature over a spectral range encompassing the ultra violet through the long wave infrared. This project will leverage existing MODEX software and incorporate automated procedures, enhanced error analysis and upgraded work flow which will improve software functionality and ease of use.