Onboard Semantic Fusion and Adaptive Pulse–PRF–Beam Control for Seeker–Fuze Radar Signaling within a C4ISR Loop

Abstract

This paper closes the loop between onboard semantic fusion and radar waveform/beam adaptation in the terminal phase. We formulate a low–latency controller that maps semantic context and numeric track state to real–time adjustments of pulse width, PRF, and beam weights under duty–cycle and hardware constraints. Building on deterministic radar physics and fusion models established in prior works, we show that rule–based and short–horizon model predictive policies materially improve last–second resolvability. A MATLAB implementation on recorded multi–target logs demonstrates measurable separability gains and stable operation. We also quantify synchronization bounds to preserve semantic consensus across the Seeker–Fuze–C4ISR loop. Core evidence is provided via three figures: S1 (range–segmented scheduler), S6 (engagement timeline with Seeker/Fuze lock and C4ISR decisions), and S3 (jitter+drift budget).