火力与指挥控制2025，Vol.50Issue(3)：201-208,8.DOI:10.3969/j.issn.1002-0640.2025.03.027
基于灰色神经网络的小型无人机目标威胁评估
Small UAV Target Threat Assessment Based on Grey Neural Network
朱婧 1徐好 1蒲桃园 1杨雯霞1
作者信息
- 1. 四川九洲防控科技有限责任公司,四川 绵阳 621000
- 折叠
摘要
Abstract
Aiming at the problem of"low,slow,and small"target threat assessment represented by quadcopter unmanned aerial vehicles(UAVs),a gray neural network-based target threat assessment method for small UAVs is proposed.The method combines the advantages of gray correlation and back propagation(BP)neural network by establishing a gray neural network model,which improves the reliability of the target threat assessment results and makes up for the lack of information on single gray correlation in the time dimension.The experimental results show that the threat assessment effect of the method is obviously better than that of the single gray correlation method,and it has a stronger adaptive learning ability,which can accurately realize the threat estimation of small UAV targets in the low-altitude domain.关键词
低慢小目标/小型无人机目标/威胁评估/灰色神经网络Key words
low-slow-small target/small UAV target/threat assessment/grey neural network分类
军事科技引用本文复制引用
朱婧,徐好,蒲桃园,杨雯霞..基于灰色神经网络的小型无人机目标威胁评估[J].火力与指挥控制,2025,50(3):201-208,8.
