摘要
从大量的雷电干扰中识别出核爆电磁脉冲信号是核爆电磁脉冲探测的关键技术。传统的识别方法利用傅里叶变换的方法在频域范围内选择六个特征值,联合对信号进行逐一筛选。本文利用小波变换良好的时频局部化特性对两类信号分别进行了研究,只需利用三个特征值就可达到以前的识别精度,取得了较好的识别效果。这有可能使电磁脉冲探测手段进入核监测领域。
Recognizing of nuclear impulse from amounts lightning disturbance is the critical technology of nuclear electro-magnetism detection. The traditional algorithms based on Fourier transform require six parameters in frequency field. These methods also utilize the selection procedure of its parameters one by one to obtain high recognition probability. In this paper the superior partial properties in time and frequency fields of wavelet transform are used to classify these two kinds signals. The results are that only requiring three parameters, this algorithm can reach high recogniton probability. This method may introduce electro-magnetism detection to the field of nuclear monitor in the future.
