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PoKER: a probability of kill estimation rate model for air-to-air missiles using machine learning on stochastic targets

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The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology

Published online on

Abstract

The Journal of Defense Modeling and Simulation, Ahead of Print.
This work introduces PoKER, a novel probabilistic model engineered to optimize missile launch effectiveness in air-to-air scenarios, specifically within Beyond Visual Range (BVR) air combat. Unlike conventional Weapon Engagement Zone (WEZ) models that ...