系统工程与电子技术2024,Vol.46Issue(3) :898-905.DOI:10.12305/j.issn.1001-506X.2024.03.15

基于双胞循环神经网络的雷达捷变频行为识别

Radar frequency agility behavior recognition based on bi-cell recurrent neural network

孟宪鹏 刘利民 董健 王力 胡文华
系统工程与电子技术2024,Vol.46Issue(3) :898-905.DOI:10.12305/j.issn.1001-506X.2024.03.15

基于双胞循环神经网络的雷达捷变频行为识别

Radar frequency agility behavior recognition based on bi-cell recurrent neural network

孟宪鹏 1刘利民 1董健 1王力 2胡文华1
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作者信息

  • 1. 陆军工程大学石家庄校区电子与光学工程系,河北石家庄 050003
  • 2. 陆军工程大学石家庄校区电子与光学工程系,河北石家庄 050003;中国人民解放军32203部队,陕西华阴 714200
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摘要

雷达程控捷变频行为具有一定的抗窄带瞄准式干扰能力,同时能够实现测量和动 目标指示等功能,给干扰引导带来一定的困难.对此,提出随机频率模板的方法,对雷达程控捷变频行为进行建模,并设计了一种双胞循环神经网络识别程控捷变频行为.仿真实验结果表明,双胞循环神经网络能够有效识别雷达程控捷变频行为,并以一定的概率预测未来的频率序列,能够有效地为窄带瞄准式干扰提供引导.仿真结果也表明,所提网络能够有效记忆和识别一组非线性时间序列.

Abstract

Radar program-controlled frequency agility behavior has a certain ability to resist narrow-band aiming jamming,and can realize the functions of measurement and moving target indication,which brings some difficulties to jamming guidance.For this,a random frequency template method is proposed to model the program-controlled frequency agility behavior of radar,and a bi-cell recurrent neural network(BRNN)is designed to identify the program-controlled frequency agility behavior.The simulation results show that the BRNN can effectively identify the frequency agility behavior of radar program-controlled,and predict the future frequency sequence with a certain probability,which can effectively provide guidance for narrow-band aiming jamming.The simulation results also show that the proposed network can effectively remember and identify a group of nonlinear time sequence.

关键词

捷变频/行为识别/循环神经网络/记忆细胞

Key words

frequency agility/behavior recognition/recurrent neural network(RNN)/memory cell

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基金项目

国家自然科学基金(61571043)

出版年

2024
系统工程与电子技术
中国航天科工防御技术研究院 中国宇航学会 中国系统工程学会

系统工程与电子技术

CSTPCDCSCD北大核心
影响因子:0.847
ISSN:1001-506X
参考文献量41
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