Abstract: Radar emitter signals have their individual feature due to inevitable oscillator phase noise. Specific Emitter Identification（SEI） technology extracts subtle and persistent features from intercepted emitter signals. These features are fingerprint information created by specific radar. An approach based on surrounding-line integrated bispectrum is proposed to extract unintentional phase modulation features caused by oscillator. The quantitative features, i.e.bispectra entropy, mean and waveform entropy of surrounding-line integrated bispectrum, are further extracted from bispectrum to reveal the individual difference between emitters. Computer simulation results show that the quantitative features can classify emitters by using individual difference under moderate SNR circumstance.

Key words: oscillator phase noise, unintentional modulation, special emitter identification, surrounding-line integrated bispectrum

摘要： 雷达辐射源信号因无法避免的振荡器相位噪声影响而具有无意调制个体特征现象。特定辐射源识别（SEI）技术研究立足于从截获的辐射源信号中提取细微且稳健的特征，这些特征是由特定辐射源个体所决定的指纹信息。采用围线积分双谱提取由振荡器相位噪声所造成的无意调制个体特征，并将围线积分双谱的均值、波形熵和双谱熵作为量化特征衡量不同雷达辐射源之间的个体差异。仿真实验表明，提取的量化特征在一定的信噪比环境下较好地体现辐射源之间的个体差异性，并且能够实现辐射源个体识别。

关键词: 振荡器相位噪声, 无意调制, 特定辐射源识别, 围线积分双谱