空天预警研究学报2026，Vol.40Issue(2)：79-85,7.DOI:10.3969/j.issn.2097-180X.2026.02.001
有源相控阵雷达的工作模式识别方法现状与展望
Current status and prospects of operational mode recognition methods for active electronically scanned array radar
张福群 1何明浩 1蒋少龙 2郁春来1
作者信息
- 1. 空军预警学院,武汉 430019
- 2. 93253部队,辽宁 本溪 117022
- 折叠
摘要
Abstract
Active electronically scanned array(AESA)radar operational mode recognition is a core technolo-gy in modern electronic reconnaissance and countermeasures.In complex electromagnetic environments,highly reliable radar operational mode recognition methods still face technical bottlenecks.Therefore,in accordance with the technological evolution of operational mode recognition methods for AESA radar,this paper categorizes them into four mainstream approaches:parameter matching,signal modeling,traditional machine learning and deep learning,then analyzes the characteristics and limitations of each method,and finally dissects the key issues hin-dering the practical application of deep learning methods,with feasible solutions proposed,offering a reference for advancing the engineering application of deep recognition techniques.关键词
有源相控阵雷达/工作模式识别/参数匹配/信号建模/机器学习/深度学习Key words
AESA radar/operational mode recognition/parameter matching/signal modeling/machine learning/deep learning分类
信息技术与安全科学引用本文复制引用
张福群,何明浩,蒋少龙,郁春来..有源相控阵雷达的工作模式识别方法现状与展望[J].空天预警研究学报,2026,40(2):79-85,7.
