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雷达辐射源分类识别方法综述
金秋,王宏艳,马方方
0
(航天工程大学 研究生院,北京 101416;航天工程大学 航天信息学院,北京 101416;军事科学院后勤科学与技术研究所,北京 100071)
摘要:
阐述了雷达辐射源识别研究的必要性,详细介绍了现有雷达辐射源基本分类识别方法,系统梳理了现有分类识别技术的优缺点,合理分析了多、大且杂的电磁环境下雷达辐射源识别研究趋势,提出将深度学习与雷达辐射源识别全面结合,实现雷达辐射源识别智能化。
关键词:  雷达辐射源识别  分类识别  深度学习  智能化
DOI:
基金项目:
An overview of radar emitter classification and identification methods
JIN Qiu,WANG Hongyan,MA Fangfang
(Department of Graduate Management,Space Engineering University,Beijing 101416,China;School of Space Information,Space Engineering University,Beijing 101416,China;Institute of Logistics Science and Technology,Academy of Military Science,Beijing 100071,China)
Abstract:
The necessity of research on radar emitter identification is expounded.The existing basic classification and identification methods of radar emitter are introduced in detail.The advantages and disadvantages of the classification and identification technology are systematically summarized.The trend of radar emitter identification under large and complicated electromagnetic environment is analyzed reasonably.The combination of deep learning and radar emitter identification is proposed to realize the intellectualization of radar emitter identification.
Key words:  radar emitter identification  classification and identification  deep learning  intelligence
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