Design and Verification of a Prediction-Corrected Guidance Algorithm Based on Evasive Maneuver Patterns of Maneuvering Targets

To counter the increased precision of modern missile interception systems, maneuvering targets employ evasive maneuvers characterized by repetitive directional changes, which induce significant prediction errors in conventional Proportional Navigation(PN) guidance algorithms. This study proposes a real-time guidance correction method that analyzes evasive maneuver patterns and predicts the target’s future heading to generate compensation terms for the PN guidance law. Simulation results demonstrate that the proposed method improves interception accuracy compared to conventional PN guidance and is expected to enhance the overall responsiveness of missile guidance systems against highly maneuverable targets.