Predictive Targeting Solutions
Enhanced missile defense capabilities providing interceptors with optimized targeting and projectile guidance
Predict and intercept
Vadum’s real-time predictive targeting solutions use machine learning to efficiently and accurately neutralize streaming kinetic and EW threats at extended engagement range. Vadum equips legacy and emerging strategic platforms with networked coordination of autonomous counterfire prioritization, scheduling, and optimization.
AEGIS Combat System Support
Vadum has developed algorithmic solutions to enhance the effectiveness of the U.S. Navy’s AEGIS Combat System including Threat Prediction for Air Defense (TPAD) and Prediction, Optimization, and Scheduling of System Engagements (POSSE) for calculating Predicted Intercept Points to support and schedule engagements of closely spaced air defense threats.
Point of Origin and Counterfire
Highly performant Machine Learning systems for enabling Point of Origin and Point of Impact estimation for long range counterfire, including intelligent trajectory algorithms for targeting rocket, artillery, and mortar (RAM) threats.
Real-time Trajectory Guidance
In support of online trajectory optimization for command guided projectiles, Vadum has developed techniques for improving lethality of Hypervelocity Projectiles (HVP) and other interceptors against maneuvering missile threats, providing optimized guidance with minimal energy loss and antiparallel angle of impact.