This paper, since withdrawn, proposed a novel method for many-vs-many missile guidance using virtual targets generated by a trajectory predictor. Instead of directly assigning interceptors to physical targets, the approach constructs virtual target trajectories based on predicted maneuvering behavior. This strategy treats engagements as many-vs-distribution scenarios, aiming to exploit numerical superiority by distributing interceptors across various predicted paths. Simulations indicated that this virtual target method could match or exceed baseline performance, especially when the number of interceptors exceeded the number of targets. AI
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IMPACT This research on virtual targets for missile guidance, while withdrawn, explores AI-driven prediction for complex engagement scenarios.
RANK_REASON This is a withdrawn academic paper detailing a novel approach to missile guidance. [lever_c_demoted from research: ic=1 ai=0.4]