现代雷达2026，Vol.48Issue(6)：1-9,9.DOI:10.16592/j.cnki.1004-7859.20241107002
基于随机模拟优化的RVGPO干扰方法
RVGPO Jamming Method Based on Stochastic Simulation Optimization
摘要
Abstract
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 relation-ship 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 opti-mization 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 dis-tance-velocity gate pull-off jamming performance.关键词
策略优化/距离—速度联合拖引干扰/基于匹配关系的更新机制/改进粒子群优化/最优计算预算分配方案Key words
strategy optimization/range-velocity gate pull-off(RVGPO)jamming/matching relationship-based update mechanism/improved particle swarm optimization(IPSO)/optimal computational budget allocation(OCBA)scheme分类
信息技术与安全科学引用本文复制引用
马智杰,张天贤,李明强,张竞择,车吉斌,孔令讲..基于随机模拟优化的RVGPO干扰方法[J].现代雷达,2026,48(6):1-9,9.基金项目
国家科技部重点研发计划资助项目(2021YFA1000401) （2021YFA1000401）
自然科学基金面上资助项目(61971109) （61971109）
国防科技创新特区支持项目(重点项目) （重点项目）
中央高校基本科研业务费资助项目(ZYGX2018J009) （ZYGX2018J009）
