弹道导弹雷达目标识别研究进展

doi:10.12305/j.issn.1001-506X.2025.09.10

系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (9): 2870-2889.doi: 10.12305/j.issn.1001-506X.2025.09.10

• 传感器与信号处理 • 上一篇

弹道导弹雷达目标识别研究进展

李开明¹^,²(), 张袁鹏³^,*(), 罗迎¹^,²(), 代肖楠¹^,⁴()

1. 空军工程大学信息与导航学院，陕西西安 710077
2. 信息感知技术协同创新中心，陕西西安 710077
3. 空军预警学院一系，湖北武汉 430019
4. 中国人民解放军 95806部队，北京 100076

收稿日期:2024-06-21 出版日期:2025-09-25 发布日期:2025-09-16
通讯作者: 张袁鹏 E-mail:kimysunrsp@163.com;zhangyuanpeng312@163.com;luoying2002521@163.com;y18500553454@163.com
作者简介:李开明（1982—），男，副教授，博士，主要研究方向为雷达成像与目标识别
罗　迎（1984—），男，教授，博士，主要研究方向为雷达成像与目标识别
代肖楠（1991—），男，助理工程师，硕士，主要研究方向为雷达成像与目标识别
基金资助:
国家自然科学基金（62371468，62271500，62131020，62301599）；陕西省自然科学基础研究计划（2023JC-QN-0674）资助课题

Research progress on radar target recognition of ballistic missile

Kaiming LI¹^,²(), Yuanpeng ZHANG³^,*(), Ying LUO¹^,²(), Xiaonan DAI¹^,⁴()

1. College of Information and Navigation，Air Force Engineering University，Xi’an 710077，China
2. Collaborative Innovation Center of Information Sensing and Understanding，Xi’an 710077，China
3. The First Department，Air Force Early Warning Academy，Wuhan 430019，China
4. Unit 95806 of the PLA，Beijing 100076，China

Received:2024-06-21 Online:2025-09-25 Published:2025-09-16
Contact: Yuanpeng ZHANG E-mail:kimysunrsp@163.com;zhangyuanpeng312@163.com;luoying2002521@163.com;y18500553454@163.com

摘要/Abstract

摘要：

弹道导弹目标分类识别是导弹防御系统的核心问题之一，具有重要的军事价值。首先，从装备发展角度对世界上主要国家的弹道导弹防御系统及其典型雷达装备进行简要概述。在此基础上，进一步从技术角度对基于传统方法的弹道导弹目标分类识别和基于深度学习方法的弹道导弹目标分类识别进行梳理总结。最后，对弹道导弹雷达目标识别的发展方向进行展望，为后续研究提供参考和借鉴。

关键词: 弹道导弹, 防御系统, 特征提取, 深度学习, 分类识别

Abstract:

Classification and recognition of ballistic missile targets is one of the crucial problems of missile defense system, which is of great military value. Firstly, the ballistic missile defense systems and corresponding typical radar equipments of the main countries in the world are summarized from the aspect of equipment development. Then, the classification and recognition of ballistic missile targets based on traditional methods and deep learning methods are summarized respectively from the aspect of technology. Finally, the development direction for the recognition of ballistic missile targets is prospected based on radar to provide reference for the subsequent research.

Key words: ballistic missile, defense system, feature extraction, deep learning, classification and recognition

中图分类号:

TN 95

李开明, 张袁鹏, 罗迎, 代肖楠. 弹道导弹雷达目标识别研究进展[J]. 系统工程与电子技术, 2025, 47(9): 2870-2889.

Kaiming LI, Yuanpeng ZHANG, Ying LUO, Xiaonan DAI. Research progress on radar target recognition of ballistic missile[J]. Systems Engineering and Electronics, 2025, 47(9): 2870-2889.

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弹道导弹雷达目标识别研究进展

Research progress on radar target recognition of ballistic missile

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