RVGPO Jamming Method Based on Stochastic Simulation Optimization

To effectively deceive radars with joint range-velocity tracking capabilities, a range-velocity gate pull-off jamming method based on the matching relationship is proposed in this paper. First, the impact of false targets on radar tracking is analyzed, and the distance-velocity gate pull-off jamming strategy is optimized and modeled as a large-scale stochastic simulation optimization problem. Then, an objective function based on track interruption rate and average miss distance is designed. Finally, the matching relationship between time delay and frequency shift in the jamming strategy is derived from the perspective of the matching relationship between false target distance and velocity. On this basis, a jamming strategy optimization algorithm based on improved particle swarm optimization and optimal computational budget allocation scheme is proposed to effectively solve the challenges of high optimization dimensions and strong variable coupling. Simulation results demonstrate that the proposed algorithm achieves excellent performance under conditions of high optimization dimensions and limited computational resources, significantly improving the distance-velocity gate pull-off jamming performance.