| 多功能雷达脉冲列的语义编码与模型重建 |
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| 引用本文： | 刘章孟,袁硕,康仕乾.多功能雷达脉冲列的语义编码与模型重建[J].雷达学报,2021,10(4):559-570. |
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| 作者姓名： | 刘章孟 袁硕 康仕乾 |
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| 作者单位： | 国防科技大学电子科学学院 长沙 410073 |
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| 基金项目： | 湖南省杰青(2020JJ2037)，湖湘青年英才支持计划(2019RS2026)，湖南省创新研究群体项目(2019JJ10004) |
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| 摘 要： | 从电子侦察数据中反演多功能雷达的工作模式，是电子侦察领域广泛关注的难点问题，也是充分挖掘电磁大数据情报效益的重要内容，对雷达型号识别、工作状态识别、行为意图推断、精确电子干扰等应用具有直接的支撑作用。该文以多功能雷达信号模型的简洁性为基本依据，参考信息理论定义了雷达脉冲列的复杂度度量规则，并遵循复杂度最小化准则对多功能雷达脉冲列进行语义编码，以提取雷达执行不同功能时的脉组结构，进一步地，基于脉冲列编码序列估计脉组之间的切换矩阵，从而重建了多功能雷达工作模型。该文设置典型的仿真实验对新方法的可行性和性能进行了验证，结果表明新方法能够借助编码理论，自动从多功能雷达侦察脉冲列中准确提取雷达脉组，并高精度重建多功能雷达工作模型，脉冲列的语义编码与模型重建过程对漏脉冲等数据噪声具有较强的适应能力。
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| 关 键 词： | 电子侦察 多功能雷达 数据压缩 语义编码 模型重建 |
| 收稿时间： | 2021-03-15 |
Semantic Coding and Model Reconstruction of Multifunction Radar Pulse Train |
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| LIU Zhangmeng,YUAN Shuo,KANG Shiqian.Semantic Coding and Model Reconstruction of Multifunction Radar Pulse Train[J].Journal of Radars,2021,10(4):559-570. |
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| Authors: | LIU Zhangmeng YUAN Shuo KANG Shiqian |
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| Affiliation: | School of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China |
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| Abstract: | Retrieving the working modes of multifunction radar from electronic reconnaissance data is a difficult problem, and it has attracted widespread attention in the field of electronic reconnaissance. It is also an important task when extracting benefits from big electromagnetic data and provides straightforward support to applications, such as radar type recognition, working state recognition, radar intention inferring, and precise electronic jamming. Based on the assumption of model simplicity, this study defines a complexity measurement rule for multifunction radar pulse trains and introduces the semantic coding theory to analyze the temporal structure of multifunction radar pulse trains. The model complexity minimization criterion guides the semantic coding procedure to extract radar pulse groups corresponding to different radar functions from pulse trains. Furthermore, based on the coded sequence of the pulse train, the switching matrix between different pulse groups is estimated, and the hierarchical working model of multifunction radars is ultimately reconstructed. Simulations are conducted to verify the feasibility and performance of the new method. Simulation results indicate that the coding theory is successfully used in the proposed method to automatically extract pulse groups and rebuild operating models based on multifunction radar pulse trains. Moreover, the method is robust to data noises, such as missing pulses. |
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