小波变换在核爆电磁脉冲信号识别中的应用
STUDIES OF RECOGNITION METHODS OF NUCLEAR AND LIGHTNING IMPULSE SIGNALS WITH APPLICATIONS OF WAVELET TRANSFORM
-
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。
-
关键词:
- Mallat算法; 特征选择; 识别域
Abstract: In this paper the superior partial properties in time and frequency fiels 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. -
秦前清, 杨宗凯. 实用小波分析. 西安: 西安电子科技出版社, 1995.[2]刘新中.核爆与天电脉冲波的识别方法及其可靠性估计.核爆远区探测, 北京:解放军出版社, 1985.[3]Daubechies I. Wavelets Transform: A Method for Time-Ftequency Location, Vol.l, ED. by S.Haykin, 1991. -
计量
- 文章访问数: 2217
- HTML全文浏览量: 151
- PDF下载量: 455
- 被引次数: 0
下载:
