An Event-Driven Greedy Scheduling Framework with Full-Surface Occlusion Certification for UAV-Deployed Obscurant Screening

Le résumé fourni par la source

Obscurant screening is a cost-effective countermeasure for protecting high-value assets by blocking the line-of-sight (LOS) between an incoming threat and a protected target. Existing approaches often rely on simplified occlusion surrogates (e.g., target-center visibility), which may yield optimistic estimates and unstable schedules when the protected target is extended in 3D. This paper studies a class of time-dependent geometric optimization problems for aerial platforms deploying obscurant munitions under kinematic and timing constraints. We propose a full-surface occlusion certification criterion that discretizes the complete boundary of a cylindrical target and evaluates the worst-case LOS clearance via a maximum-distance test, thereby providing conservative and reliable occlusion decisions. To efficiently search a high-dimensional decision space (heading, speed, release time, detonation time, and multi-platform/multi-munition assignments), we design an event-driven scanning strategy with adaptive step sizes and boundary bisection to precisely localize occlusion intervals. Building upon single-munition evaluation, we introduce candidate seeding, dominance pruning, and a greedy-beam joint scheduling mechanism to maximize the union length of occlusion intervals under release-spacing and resource constraints. For multi-threat scenarios, a two-stage SUM-guided / AND-convergent optimization is developed to first stabilize coverage and then refine intersection-duration performance. Simulation results on a representative missile-target engagement geometry demonstrate that the proposed framework achieves longer certified occlusion time than center-based baselines, while maintaining tractable computational cost through multi-layer rejection tests and interval-based pruning.

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