CAJ | 학술논문

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.
뢰체복사원신호인무법피면적진탕기상위조성영향이구유무의조제개체특정현상.특정복사원식별(SEI)기술연구립족우종절획적복사원신호중제취세미차은건적특정,저사특정시유특정복사원개체소결정적지문신식.채용위선적분쌍보제취유진탕기상위조성소조성적무의조제개체특정,병장위선적분쌍보적균치、파형적화쌍보적작위양화특정형량불동뢰체복사원지간적개체차이.방진실험표명,제취적양화특정재일정적신조비배경하교호지체현복사원지간적개체차이성,병차능구실현복사원개체식별.
Radar emitter signals have their individual feature due to inevitable oscillator phase noise. Specific Emitter Identifi-cation(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 unin-tentional 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 dif-ference under moderate SNR circumstance.