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基于随机模拟优化的RVGPO干扰方法OA

RVGPO Jamming Method Based on Stochastic Simulation Optimization

中文摘要英文摘要

为了有效欺骗具备距离—速度联合跟踪能力的雷达,文中提出了一种基于匹配关系的距离—速度联合拖引干扰方法.首先,分析了虚假目标对雷达跟踪的影响,将距离—速度联合拖引干扰策略优化建模为一个大规模随机模拟优化问题;接着,设计了基于航迹中断率以及平均误差距离的目标函数;最后,从虚假目标的距离与速度相互匹配的角度出发,推导了干扰策略中时延和频移间的匹配关系,并在此基础上,提出了基于改进粒子群优化与最优计算预算分配方案的干扰策略优化算法,有效解决了优化维度高、变量间耦合强的难题.仿真结果表明,所提算法在优化维度高且计算资源少的情况下性能优异,大幅提升了距离—速度联合拖引干扰性能.

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.

马智杰;张天贤;李明强;张竞择;车吉斌;孔令讲

电子科技大学 信息与通信工程学院,四川 成都 611731电子科技大学 信息与通信工程学院,四川 成都 611731中国电子科技集团公司信息科学研究所,北京 100086电子科技大学 信息与通信工程学院,四川 成都 611731电子科技大学 信息与通信工程学院,四川 成都 611731电子科技大学 信息与通信工程学院,四川 成都 611731

信息技术与安全科学

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

strategy optimizationrange-velocity gate pull-off(RVGPO)jammingmatching relationship-based update mechanismimproved particle swarm optimization(IPSO)optimal computational budget allocation(OCBA)scheme

《现代雷达》 2026 (6)

1-9,9

国家科技部重点研发计划资助项目(2021YFA1000401)自然科学基金面上资助项目(61971109)国防科技创新特区支持项目(重点项目)中央高校基本科研业务费资助项目(ZYGX2018J009)

10.16592/j.cnki.1004-7859.20241107002

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