Tracking Algorithm(s) for Determining Highest Probability Predicted Intercept Points(s) in the AEGIS Combat System
Accurate predicted intercept points can improve missile performance/efficiency against advanced threats; reducing requirements for missile upgrades, expanding the battlespace of anti-cruise missile engagements, and reducing the number of missiles needed for a given engagement. Targeting the AEGIS Combat System, the Threat Predictor for Air Defense (TPAD) algorithms are designed to perform long-term prediction of anti-ship cruise missiles; improving fire control solutions, including a framework for incorporation of prediction algorithms rather a single prediction algorithm and attempts to estimate its own performance and degrades gracefully when performance is low. Vadum, a scientific research and technology development organization focused on new solutions to national defense issues seeks high-fidelity testing support, appropriate intelligence data to inform the machine learning components of the solution, and identification of additional transition targets.
Scheduling Algorithm for Efficient and Effective Predicted Intercept Points (PIPs) for Multiple Targets
Already a software supplier with Northrop Grumman on multiple advanced development efforts relating to electromagnetic maneuver warfare (EMW), Vadum is a scientific research and technology development organization focused on new solutions to national defense issues. The Prediction, Optimization and Scheduling of System Engagements (POSSE) algorithms are designed to decrease missile-to-missile interference when engaging raids of closely spaced anti-ship cruise missiles. The transition process will begin when the technology is integrated into high-fidelity models of the AEGIS Combat System, eventually on U.S. Navy Destroyers; the algorithm representations integrated can then be transitioned to computer program specifications and finally to tactical code. Vadum seeks high-fidelity testing support, appropriate intelligence data to inform the machine learning components of the solution, and identification of additional transition targets.
Vadum has developed a Distributed Coherent Electronic Warfare (DCEW) protocol that enables swarms of size, weight, and power constrained nodes to collectively jam an uncooperative target. Beamforming is achieved with minimal latency and overhead, and no dependence on node positions or numbers. This system can be integrated into Group I-III unmanned aerial systems (UAS) to perform stand-in jamming, but is flexible for use in any distributed beamforming application such as covert communications. Initial benchtop testing has verified success of the DCEW protocol. Vadum specializes in developing advanced hardware, sensors, and algorithms for surface and airborne systems used by the electronic warfare community. Our goal is to integrate this technology on a prime contractor’s UAS system as one of several payloads for swarm-based applications.