Department of Electronic Technology, Naval University of Engineering, Wuhan 430033, China.
Sensors (Basel). 2022 Mar 29;22(7):2616. doi: 10.3390/s22072616.
In this study, a feature analysis and extraction method was proposed for specific emitter identification based on the signal generation mechanisms of radar transmitters. The generation of radar signals by radar transmitters was analyzed theoretically and experimentally. In the analysis, the main source of unintentional modulation in radar signals was identified, and the frequency stabilization of the solid-state frequency source, the nonlinear characteristics of the radio frequency amplifier chain, and the envelope of the pulse front edge were extracted as features for specific emitter identification. Subsequently, these characteristics were verified through simulation. The results revealed that the features extracted by this method exhibit "fingerprint characteristics" and can be used to identify specific radar emitters.
在这项研究中，提出了一种基于雷达发射机信号产生机制的特定辐射源识别特征分析和提取方法。雷达发射机产生的雷达信号从理论和实验两个方面进行了分析。在分析中，确定了雷达信号非有意调制的主要来源，并将固态频率源的频率稳定度、射频放大器链的非线性特性和脉冲前沿的包络提取为特定辐射源识别的特征。随后，通过仿真对这些特征进行了验证。结果表明，该方法提取的特征具有“指纹特征”，可用于识别特定的雷达辐射源。
