小波變換在核爆電磁脈沖信號(hào)識(shí)別中的應(yīng)用
STUDIES OF RECOGNITION METHODS OF NUCLEAR AND LIGHTNING IMPULSE SIGNALS WITH APPLICATIONS OF WAVELET TRANSFORM
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摘要: 從大量的雷電干擾中識(shí)別出核爆電磁脈沖信號(hào)是核爆電磁脈沖探測的關(guān)鍵技術(shù)。傳統(tǒng)的識(shí)別方法利用傅里葉變換的方法在頻域范圍內(nèi)選擇六個(gè)特征值,聯(lián)合對(duì)信號(hào)進(jìn)行逐一篩選。本文利用小波變換良好的時(shí)頻局部化特性對(duì)兩類信號(hào)分別進(jìn)行了研究,只需利用三個(gè)特征值就可達(dá)到以前的識(shí)別精度,取得了較好的識(shí)別效果。這有可能使電磁脈沖探測手段進(jìn)入核監(jiān)測領(lǐng)域。
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關(guān)鍵詞:
- Mallat算法; 特征選擇; 識(shí)別域
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, 楊宗凱. 實(shí)用小波分析. 西安: 西安電子科技出版社, 1995.[2]劉新中.核爆與天電脈沖波的識(shí)別方法及其可靠性估計(jì).核爆遠(yuǎn)區(qū)探測, 北京:解放軍出版社, 1985.[3]Daubechies I. Wavelets Transform: A Method for Time-Ftequency Location, Vol.l, ED. by S.Haykin, 1991. -
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