AI RESEARCH
Many-vs-Many Missile Guidance via Virtual Targets
arXiv CS.LG
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ArXi:2511.02526v2 Announce Type: replace-cross This paper presents a novel approach to many-vs-many missile guidance using virtual targets (VTs) generated by a Normalizing Flows-based trajectory predictor. Rather than assigning n interceptors directly to m physical targets through conventional weapon target assignment algorithms, we propose a centralized strategy that constructs n VT trajectories representing probabilistic predictions of maneuvering target behavior. Each interceptor is guided toward its assigned VT using Zero-Effort-Miss guidance during mid.