A concise survey of the literature on cyclostationarity of the last 10 years is presented and an
extensive bibliography included. The problems of statistical function estimation, signal …

With the popularization of the Internet of Things (IoT), its security has become increasingly
prominent. Radio-frequency fingerprinting (RFF) is a promising approach to identify a …

Abstract Radar Emitter Identification (REI) has been broadly used in military and civil fields.
In this paper, a novel method is proposed for radar emitter signal identification, where the …

雷达辐射源个体识别通过提取个体特征来辨识雷达个体, 是电子对抗领域的热点研究方向.
近年来随着深度学习的飞速发展及其在各领域的成功应用, 基于深度学习的雷达辐射源个体识别 …

Specific radar emitter identification distinguishes each radar emitter based on the extracted
individual features, which is crucial for electronic countermeasures. With the rapid …

Radar emitter individual identification plays an increasingly important role in electronic
support measures (ESM) system. To cope with the problems of low accuracy and poor …

In this research, the authors extract features from intermediate frequency band radar signals
in the time–frequency domain for classification. The extracted features are classified via …

多核融合框架下的雷达辐射源个体识别Specific Radar Emitter Identification in Multiple Kernel
Fusion Framework Page 1 第36 卷第10 期 电子与信息学报 Vol.36No.10 2014 年10 月 Journal …

Specific emitter identification has attracted much attention of researchers in recent decades.
This technology distinguishes different emitters by exploiting the unintentional modulation …

Sažetak Radar signal recognition is of great importance in the field of electronic intelligence
reconnaissance. To deal with the problem of parameter complexity and agility of multi …