A Study on Spatio-Temporal Cooperative Optimization Model and Strategy for Single UAV Smokescreen Jamming

Abstract

This study addresses the strategy optimization problem of single UAV platforms deploying smokescreen jamming bombs in complex confrontation scenarios. Firstly, by establishing a mathematical model of missile kinematics and the spatial geometric relationship of smokescreen cloud formations, the effective coverage time for a single bomb against a single target was precisely calculated, providing a benchmark for subsequent optimization. Secondly, a multi-variable constrained optimization model was constructed, with UAV flight direction, speed, and smokescreen bomb deployment and detonation parameters as decision variables, and a grid search algorithm was employed to maximize the coverage effectiveness of a single jamming bomb. Finally, for the case of a single UAV deploying multiple jamming bombs, a multi-bomb cooperative deployment strategy based on temporal planning and spatial coverage was designed. By optimizing the deployment sequence using a grid search algorithm, the overall coverage time was significantly extended. Research results indicate that through precise spatio-temporal cooperative optimization, the single-bomb coverage time can be increased from a baseline of 1.405 seconds to 4.2 seconds, and the total coverage time can be further extended to 4.62 seconds under multi-bomb cooperation. This study provides a quantitative and operable method for single UAV smokescreen jamming strategies, offering reference value for tactical decisions in the field of electronic countermeasures.