袁硕,
康仕乾
国防科技大学电子科学学院 长沙 410073
基金项目:湖南省****(2020JJ2037)，湖湘青年英才支持计划(2019RS2026)，湖南省创新研究群体项目(2019JJ10004)
详细信息
作者简介:刘章孟(1984–)，男，湖北天门人，国防科技大学电子科学学院研究员。研究方向为电子侦察与对抗、电磁大数据、统计信号处理
袁硕：袁 硕(1997–)，男，山东济南人，国防科技大学电子科学学院硕士研究生。研究方向为雷达侦察数据处理
康仕乾(1996–)，男，河北衡水人，国防科技大学电子科学学院硕士研究生。研究方向为雷达侦察数据处理
通讯作者:刘章孟 liuzhangmeng@nudt.edu.cn
责任主编：唐斌 Corresponding Editor: TANG Bin中图分类号:TN971
计量
文章访问数:360
HTML全文浏览量:119
PDF下载量:98
被引次数:0
出版历程
收稿日期:2021-03-15
修回日期:2021-07-23
网络出版日期:2021-08-03
Semantic Coding and Model Reconstruction of Multifunction Radar Pulse Train
LIU Zhangmeng,,YUAN Shuo,
KANG Shiqian
School of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
Funds:Provincial Outstanding Youth project of Hunan (2020JJ2037), Huxiang Young Talents project of Hunan (2019RS2026), Provincial Innovation Research Group of Hunan (2019JJ10004)
More Information
Corresponding author:LIU Zhangmeng, liuzhangmeng@nudt.edu.cn
摘要
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。
关键词:电子侦察/
多功能雷达/
数据压缩/
语义编码/
模型重建
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.
Key words:Electronic reconnaissance/
Multifunctional radars/
Data compression/
Semantic coding/
Model reconstruction
PDF全文下载地址:
https://plugin.sowise.cn/viewpdf/198_7f494330-e158-4a9b-a377-b481aabaff65_R21031
