非合作辐射源识别技术发展动态分析
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陆军工程大学通信工程学院,南京,210007

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国家自然科学基金面上(61871398)资助项目;国家自然科学基金重点(61931011)资助项目;江苏省自然科学基金杰出青年基金(BK20190030)资助项目。


Analysis of Development of Non-cooperative Emitter Identification Technology
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College of Communications Engineering, Army Engineering University, Nanjing, 210007, China

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    摘要:

    随着电磁环境愈发复杂,在非合作条件下,接收方对辐射源信号的识别与分析是获取电子情报的重要手段。辐射源识别是利用侦察设备截获的辐射源信号,提取并分析信号的特征,进而实现对辐射源的分类和类型判断。它是电子对抗领域一个重要的研究方向,在无线电安全和频谱资源管控等方面具有重要的意义和广阔的应用前景。本文在分析国内外大量文献的基础上,首先说明了辐射源识别的主要特点,其次归纳了辐射源识别的类型,接着将目前辐射源识别的主要方法进行分类,并分析了辐射源识别的现状,随后分类梳理了辐射源数据集,最后分析了辐射源识别未来可能的发展趋势。

    Abstract:

    With the increasingly complex electromagnetic environment, for a receiver, especially in non-cooperative condition, identification and analysis of emitter sources are regarded as an important method to obtain electronic intelligence. Emitter identification refers to the process of extracting and analyzing characteristics of emitter signals intercepted by the reconnaissance equipment. The category and type of emitters is made. As a momentous direction in the electronic counter measures(ECM)area, emitter identification has a significant meaning as well as a wide range of applications in radio safety and spectrum resources management. Based on the analysis of a great deal of domestic and foreign literature,this article starts with the main characteristics of emitter identification in simplicity, then elaborates the classification and main methods of emitter identification. The actualities of emitter identification are introduced. Emitter data sets are categorized. This review ends up with possible future development trends in emitter identification.

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汤鹏,徐以涛,李京华,王殷,李康,刘娟,丁国如.非合作辐射源识别技术发展动态分析[J].数据采集与处理,2020,35(6):1033-1048

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  • 收稿日期:2020-06-17
  • 最后修改日期:2020-08-16
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  • 在线发布日期: 2020-12-17