| 基于差分特征的间歇采样转发干扰辨识与抑制方法 |
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| 引用本文： | 盖季妤,姜维,张凯翔,梁振楠,陈新亮,刘泉华.基于差分特征的间歇采样转发干扰辨识与抑制方法[J].雷达学报,2023,12(1):186-196. |
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| 作者姓名： | 盖季妤 姜维 张凯翔 梁振楠 陈新亮 刘泉华 |
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| 作者单位： | 1.卫星导航电子信息技术教育部重点实验室(北京理工大学) 北京 1000812.北京理工大学重庆创新中心 重庆 4011203.电子信息控制重点实验室 成都 6100364.北京理工大学长三角研究院(嘉兴) 嘉兴 314019 |
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| 基金项目： | 国家自然科学基金(61771050)，电子信息控制重点实验室开放基金(6142105190313)，重庆市自然科学基金(2020ZX3100039) |
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| 摘 要： | 间歇采样转发式干扰机通过对其接收到的雷达发射信号进行采样、存储、处理和多次转发，在雷达接收端形成逼真的假目标干扰效果。为提升上述干扰场景下的雷达探测性能，该文提出了一种新的信号差分特征提取方法，在此基础上，利用目标回波和干扰信号在差分特征空间的差异设计判决准则，从而在有效辨识并抑制干扰的同时实现目标检测。仿真结果表明:该方法干扰抑制效果显著，相比于3种典型的时频域滤波算法等效信噪比改善4.2 dB以上。
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| 关 键 词： | 间歇采样转发干扰 差分特征 干扰辨识 干扰抑制 目标检测 |
| 收稿时间： | 2022-04-02 |
A Method for Interrupted-Sampling Repeater Jamming Identification and Suppression Based on Differential Features |
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| GAI Jiyu,JIANG Wei,ZHANG Kaixiang,LIANG Zhennan,CHEN Xinliang,LIU Quanhua.A Method for Interrupted-Sampling Repeater Jamming Identification and Suppression Based on Differential Features[J].Journal of Radars,2023,12(1):186-196. |
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| Authors: | GAI Jiyu JIANG Wei ZHANG Kaixiang LIANG Zhennan CHEN Xinliang LIU Quanhua |
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| Affiliation: | 1.Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology), Ministry of Education, Beijing 100081, China2.Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, China3.Science and Technology on Electronic Information Control Laboratory, Chengdu 610036, China4.Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing 314019, China |
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| Abstract: | The interrupted-sampling repeater jammer can sample, store, process and transmit part of the radar transmitter signal multiple times and the fake targets will form on the radar receiver. To improve the radar performance in the aforementioned jamming scenario, in this study, a new signal differential feature extraction method is proposed, and a judgment criterion is formulated based on the difference between the target echo and the Interrupted-Sampling Repeater Jamming (ISRJ) in the differential feature space to effectively identify and suppress the ISRJ while achieving target detection. Simulation results show that the proposed method has a remarkable ISRJ suppression performance. The equivalent signal-to-noise ratio is improved by at least 4.2 dB compared with three typical time-frequency domain filtering algorithms. |
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