首页|Aerial target threat assessment based on gated recurrent unit and self-attention mechanism

Aerial target threat assessment based on gated recurrent unit and self-attention mechanism

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
  • 维普
Aerial threat assessment is a crucial link in modern air combat,whose result counts a great deal for commanders to make decisions.With the consideration that the existing threat assessment methods have difficulties in dealing with high dimensional time series target data,a threat assessment method based on self-attention mechanism and gated recurrent unit(SA-GRU)is proposed.Firstly,a threat feature system including air combat situations and capability features is established.More-over,a data augmentation process based on fractional Fourier transform(FRFT)is applied to extract more valuable information from time series situation features.Furthermore,aiming to cap-ture key characteristics of battlefield evolution,a bidirectional GRU and SA mechanisms are designed for enhanced features.Subsequently,after the concatenation of the processed air com-bat situation and capability features,the target threat level will be predicted by fully connected neural layers and the softmax classifier.Finally,in order to validate this model,an air combat dataset generated by a combat simulation system is introduced for model training and testing.The comparison experiments show the proposed model has structural rationality and can per-form threat assessment faster and more accurately than the other existing models based on deep learning.

target threat assessmentgated recurrent unit(GRU)self-attention(SA)fractional Fourier transform(FRFT)

CHEN Chen、QUAN Wei、SHAO Zhuang

展开 >

School of Automation,Beijing Institute of Technology,Beijing 100081,China

State Key Laboratory of Intelligent Control and Decision of Complex Systems,Beijing 100081,China

国家自然科学基金国家自然科学基金Shanghai Municipal Science and Technology Major ProjectShanghai Municipal Commission of Science and Technology Project

62022015620881012021SHZDZX010019511132101

2024

10.23919/JSEE.2023.000116

系统工程与电子技术(英文版)
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 中国系统仿真学会

系统工程与电子技术(英文版)

CSTPCD
影响因子：0.64
ISSN：1004-4132
年,卷(期)：2024.35(2)
  • 33