| 一种距离门拖引干扰策略的智能生成方法 |
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| 引用本文： | 贾瑞,张天贤,王远航,邓艳红,孔令讲. 一种距离门拖引干扰策略的智能生成方法[J]. 信号处理, 2021, 37(2): 276-283. DOI: 10.16798/j.issn.1003-0530.2021.02.013 |
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| 作者姓名： | 贾瑞 张天贤 王远航 邓艳红 孔令讲 |
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| 作者单位： | 电子科技大学信息与通信工程学院 |
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| 基金项目： | 自然科学基金面上项目（61971109）；自然科学基金重点（U19B2017）；长江学者基金；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）
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| 摘 要： | 针对未知环境模型下的多帧距离门拖引干扰的策略优化问题,提出一种基于改进粒子群算法的拖引干扰策略优化方案.首先,以平均波门偏移距离作为干扰效果的性能评价指标,建立了距离门拖引干扰的多帧联合优化模型.然后,为了解决目标函数解析表达式难以获取的难点,提出了一种结合奖励机制的蒙特卡洛目标函数拟合方法;在此基础上,面向优化维度过...
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| 关 键 词： | 距离门拖引干扰 环境模型未知 拖引策略 改进粒子群算法 |
| 收稿时间： | 2020-07-17 |
An Intelligent Generation Method of Range Gate Pull-off (RGPO) Jamming Strategy |
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| Affiliation: | School of Information and Communication Engineering, University of Electronic Science and Technology of China |
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| Abstract: | The optimal strategy problem of multi-frame range gate pull-off (RGPO)jamming with unknown environment model was studied. We used improved Particle Swarm Optimization (IPSO) to solve the problem. First, we used the difference between the center of the range gate and the true target position as the evaluation index of the jamming effect, and constructed a multi-frame joint optimization model of RGPO jamming. Then, in order to solve the difficulty of obtaining objective function analytical expressions, a fitting method of Monte Carlo objective function combined with reward mechanism was proposed. On this basis, a strategy optimization method based on particle swarm optimization algorithm was proposed for the difficulty of high optimization dimension. Finally, numerical results were provided to verify the validity of the proposed algorithm. |
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