基于脉冲角度特征的雷达辐射源识别及仿真实现

Radar Emitter Recognition and Implementation Based on Pulse Angle Feature

针对目前雷达告警系统中对雷达辐射源识别精度不高的问题,提出利用一类新的指纹特征——脉冲角度特征进行辐射源识别。为能得到较精确的脉冲角度特征,在利用Hilbert法提取脉冲包络的基础上,对包络曲线进行三次样条拟合,并证明了由此所提脉冲角度特征的良好聚类性,最后,通过实例仿真验证了利用该特征能较好对辐射源信号进行分类识别。

According to the present problem that the radar warning receiver doesn＇ t have high precision in emitter recognition, a new kind of fingerprint feature ＂pulse angle＂ is proposed. In order to get this character, the signal envelope should be extract with Hilbert method first, then make the envelope curve fitted by cubic spline interpolation function, and the clustering feature of the pulse angle character has been proved. At last, it is verified by the instance simulation that the pulse character can be used to recognize the radar emitter.