Airborne Missile Tracking and Characterization System (AMTaCS)

In this effort, we will continue the development of tracking and characterization algorithms necessary for a Theater Ballistic Missile Defense framework based on sensors and weapons placed on forward based airborne platforms.In the contested battle space of the future, particularly with a peer adversary, there may be near-simultaneous missile launches all which may cue missile defense systems.Utilizing forward based airborne platforms will allow rapid detection and tracking of these threats with the potential to engage interceptors in the launch or boost phase.We propose an integrated solution which is based on the composition of an advanced inference framework and an advanced manifold learning based characterization algorithm.Our inference framework is capable of performing non-linear, non-Gaussian filtering, simultaneous tracking and discrimination, and multi-sensor fusion.Our characterization algorithm is based on the principle of manifold learning and operates on high dimensional data in a sensor-agnostic fashion.This algorithm has been shown to perform multi-sensor fusion across wavelength regimes by learning target and sensor-to-target parameters.Through extensive knowledge of missile defense and air platform systems we intend to deliver recommendations for future sensor capabilities and CONOPS in air-based defense of Theater Ballistic Missile threats.