| 摘要: |
| 多功能相控阵雷达是指具备相位控制阵列，能同时实现搜索、跟踪、制导等多种功能的雷达。随着雷达对抗的不断升级以及各国对于电子战的日益重视，作为获取多功能相控阵雷达信息的重要手段，其行为辨识技术的研究得到了进一步发展。结合目前多功能相控阵雷达行为辨识的背景与意义，对已有的不同多功能相控阵雷达信号模型进行梳理，对高密度、大噪声信号环境下的波形单元提取算法和基于深度学习的工作模式识别算法进行识别性能、适用场景等方面的系统性对比，并归纳了不同仿真数据集的实际应用情况，最后总结了该技术存在的问题并提出了未来展望。 |
| 关键词: 多功能相控阵雷达（MPAR） 行为辨识 工作模式识别 信号建模 波形单元提取 深度学习 |
| DOI：10.20079/j.issn.1001-893x.230906002 |
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| 基金项目: |
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| Overview of Multi-function Phased Array Radar Behavior Identification Technology |
| FU Yuxin,HUANG Jie,WANG Jiantao,DANG Tongxin,LI Yiming,SUN Zhenyu |
| (1.School of Data and Target Engineering,Information Engineering University,Zhengzhou 450001,China;2.Unit 63896 of PLA,Luoyang 471000,China) |
| Abstract: |
| Multi-function phased array radar(MPAR) is a kind of radar with phase control array,which can realize many functions such as searching,tracking,guidance and so on.With the development of radar countermeasure and the increasing attention to electronic warfare,as an important means of acquiring information of MPAR,the research of behavior identification technology has been further developed.Based on the background and significance of behavior identification of MPAR,the authors describe the existing signal models of MPAR,systematically compare the recognition performance and applicable scene of the waveform unit extraction algorithm in the high density and big noise signal environment and the working mode recognition algorithm based on deep learning,summarize the practical application of different simulation datasets,and finally point out the existing problems and the future prospects. |
| Key words: multi-function phased array radar(MPAR) behavior identification work mode recognition signal modeling waveform unit extraction deep learning |
