利用幅度重排的机载火控雷达工作模式识别方法

doi:10.19665/j.issn1001-2400.2021.02.006

西安电子科技大学学报 ›› 2021, Vol. 48 ›› Issue (2): 42-48.doi: 10.19665/j.issn1001-2400.2021.02.006

利用幅度重排的机载火控雷达工作模式识别方法

杨秋^1,^2,³(),顾杰²(),魏平¹()

1.电子科技大学信息与通信工程学院,四川成都 611731
2.电子信息控制重点实验室,四川成都 610036
3.中国人民解放军95786部队,四川成都 614000

收稿日期:2020-09-02 修回日期:2020-10-28 出版日期:2021-04-20 发布日期:2021-04-28
作者简介:杨秋(1986—),男,电子信息控制重点实验室博士后,E-mail: yangqiu1105@163.com|顾杰(1974—),男,研究员,博士,E-mail: 13558699175@qq.com|魏平(1966—),男,教授,博士,E-mail: pwei@uestc.edu.cn
基金资助:
国家自然科学基金(61971103)

Recognition of operation modes of airborne fire control radar using amplitude rearrangement

YANG Qiu^1,^2,³(),GU Jie²(),WEI Ping¹()

1. School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China
2. Science and Technology on Electronic Information Control Laboratory,Chengdu 610036,China
3. Unit 95786 of PLA,Chengdu 614000,China

Received:2020-09-02 Revised:2020-10-28 Online:2021-04-20 Published:2021-04-28

摘要/Abstract

摘要：

快速、准确地识别机载火控雷达的工作模式,特别是含跟踪信号的高威胁工作模式,是夺取机载电子对抗主动权的关键环节。针对已有工作模式识别方法应用条件受限、工程化应用困难等问题,在分析各工作模式信号特点的基础上,提出了一种利用幅度重排的工作模式识别方法。该方法充分利用信号幅度分布特征识别跟踪信号,对信号按幅度大小进行重排,并进行一阶差分化处理,通过检测重排幅度差分的凹口区间,有效地识别出了包含高威胁跟踪信号的搜索加跟踪和单目标跟踪工作模式。仿真试验结果表明,所提方法对脉冲丢失和干扰不敏感,识别准确率较高,且计算简单、运算量小,便于工程化实现。

关键词: 机载火控雷达, 工作模式识别, 幅度

Abstract:

Recognizing the operation modes of airborne fire control radar quickly and accurately,especially in the high threat mod,is the important part of airborne electronic countermeasures.For the restricted application conditions of existing methods,a new method using amplitude rearrangement is proposed in this paper after a large amount of analysis of each mode.This method makes full use of the characteristics of amplitude distribution to identify tracking signals.First,all the signals are rearranged by the size of signal’s amplitude,and then the first-order difference of the rearranged amplitude iscalculated.Finally,the track and search mode and single target tracking mode are recognized effectively according to the special notch character of the rearranged amplitude.Simulation results prove the good real-time and accuracy rate performance of the proposed method.More importantly,the new method is not sensitive to the pulse deletion and interference.Owing to the above advantages,the proposed method has a good potential in the practical engineering application.

Key words: airborne fire control radar, operation modes recognition, amplitude

中图分类号:

TN971.1

杨秋,顾杰,魏平. 利用幅度重排的机载火控雷达工作模式识别方法[J]. 西安电子科技大学学报, 2021, 48(2): 42-48.

YANG Qiu,GU Jie,WEI Ping. Recognition of operation modes of airborne fire control radar using amplitude rearrangement[J]. Journal of Xidian University, 2021, 48(2): 42-48.

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参考文献 17

[1]	刘明骞, 孟燕, 张卫东. 雷达辐射源信号识别的效能综合评估方法[J]. 西安电子科技大学学报, 2019,46(6):1-8.
	LIU Mingqian, MENG Yan, ZHANG Weidong. Method for Comprehensive Evaluation of Effectiveness of Radar Emitter Signals Recognition[J]. Journal of Xidian University, 2019,46(6):1-8.
[2]	WANG W, WANG Y B. A Parameter-optimized SLS-TSVM Method for Working Modes Recognition of Airborne Fire Control Radar[C]//Proceedings of the 2020 IEEE 4th Information Technology,Networking,Electronic and Automation Control Conference. Piscataway:IEEE, 2020: 948-953.
[3]	LI H, JIN W D, LIU H D, et al. Work Mode Identification of Airborne Phased Array Radar Based on the Combination of Multi-level Modeling and Deep Learning[C]// 中国系统工程学会.第35届中国控制会议论文集. 北京:I中国自动化学会控制理论专业委员会、中国系统工程学会, 2016: 7005-7010.
[4]	马珂, 毕大平, 胡立群, 等. 基于ELINT的机载火控雷达空空工作状态识别[J]. 电子信息对抗技术, 2019,34(4):35-39.
	MA Ke, BI Daping, HU Liqun, et al. Air to Air Operation Statuses Recognition of Airborne Fire Control Radar Based on ELINT[J]. Electronic Information Warfare Technology, 2019,34(4):35-39.
[5]	王玉冰, 程嗣怡, 周一鹏, 等. 基于DS证据理论的机载火控雷达空空工作模式判定[J]. 现代雷达, 2017,39(5):79-84.
	WANG Yubing, CHENG Siyi, ZHOU Yipeng, et al. Air-to-air Operation Modes Recognition of Airborne Fire Control Radar Based on DS Evidence Theory[J]. Modern Radar, 2017,39(5):79-84.
[6]	李岩, 高梅国, 崔双洋. 认知雷达对抗中的未知雷达状态识别方法[J]. 太赫兹科学与电子信息学报, 2018,16(2):233-238.
	LI Yan, GAO Meiguo, CUI Shuangyang. Unknown Radar State Recognition Method for Cognitive Radar Countermeasure[J]. Journal of Terahertz Science and Electronic Information Technology, 2018,16(2):233-238.
[7]	高刚, 孙盼杰, 刘正彬. 基于脉冲幅度及频率分析的雷达扫描方式识别[J]. 电子信息对抗技术, 2016,31(6):12-17.
	GAO Gang, SUN Panjie, LIU Zhengbin. Automatic Radar Antenna Scan Type Recognition Based on Analysis of Pluses Amplitude and Frequency[J]. Electronic Information Warfare Technology, 2016,31(6):12-17.
[8]	林龙, 吴碧. 基于系统聚类的雷达工作模式识别方法及仿真[J]. 指挥控制与仿真, 2020,42(2):65-69.
	LIN Long, WU Bi. Method and Simulation of Radar Work-mode Recognition Based on System Clustering[J]. Command Control & Simulation, 2020,42(2):65-69.
[9]	BARSHAN B, ERAVCI B. Automatic Radar Antenna Scan Type Recognition in Electronic Warfare[J]. IEEE Trans on Aerospace and Electronic Systems, 2012,48(4):2908-2931. doi: 10.1109/TAES.2012.6324669
[10]	赵珊珊, 张林让, 刘楠, 等. 利用幅度比特征进行有源假目标鉴别[J]. 西安电子科技大学学报, 2017,44(5):51-57.
	ZHAO Shanshan, ZHANG Linrang, LIU Nan, et al. Active False-target Discrimination Method Based on the Amplitude Ratio Feature[J]. Journal of Xidian University, 2017,44(5):51-57.
[11]	SHENG C, ZHANG Y S, LU W L, et al. Method to Reconnoiter Pulse Amplitude Train for Phased Array Radar Based on Hausdorff Distance[J]. Journal of Systems Engineering and Electronics, 2017,28(6):1089-1097. doi: 10.21629/JSEE.2017.06.07
[12]	罗长胜, 吴华, 程嗣怡. 脉冲幅度特性分析的相控阵雷达识别技术[J]. 火力与指挥控制, 2013,38(7):27-31.
	LUO Changsheng, WU Hua, CHENG Siyi. Research on Recognition of Phased-array Radar Based on Analysis of Pulses Amplitude[J]. Fire Control & Command Control, 2013,38(7):27-31.
[13]	唐玉文, 何明浩, 韩俊, 等. 机载火控雷达典型空-空工作模式浅析[J]. 现代防御技术, 2018,46(6):87-93.
	TANG Yuwen, HE Minghao, HAN Jun, et al. Typical Air to Air Operation Modes of Airborne Fire Control Radar[J]. Modern Defence Technology, 2018,46(6):87-93.
[14]	OU J, CHEN Y G, ZHAO F, et al. Method for Operating Mode Identification of Multi-function Radars Based on Predictive State Representations[J]. IET Radar,Sonar and Navigation, 2017,11(3):426-433. doi: 10.1049/rsn2.v11.3
[15]	刘一鸣, 盛文, 施端阳. 效费比视角下相控阵雷达多波束跟踪调度策略[J]. 西安电子科技大学学报, 2019,46(6):155-162.
	LIU Yiming, SHENG Wen, SHI Duanyang. Multi-beam Tracking Scheduling Strategy for Phased Array Radar Based on the Cost-effectiveness Ratio[J]. Journal of Xidian University, 2019,46(6):155-162.
[16]	LIU W F, ZHANG Z Q, Chen X H, et al. Dictionary Learning-based Hough Transform for Road Detection in Multispectral Image[J]. IEEE Geoscience and Remote Sensing Letters, 2017,14(12):2330-2334. doi: 10.1109/LGRS.2017.2764042
[17]	ZHANG H J, YANG Y, SHEN H B. Detection of Curvilinear Structure in Images by a Multi-centered Hough Forest Method[J]. IEEE Access, 2018,6:22684-22694. doi: 10.1109/ACCESS.2018.2823726

利用幅度重排的机载火控雷达工作模式识别方法

Recognition of operation modes of airborne fire control radar using amplitude rearrangement

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