[1]戴龙成,宣益民,刘皓明,等.对噪声淹没的传感信号进行小波分析处理[J].南京理工大学学报(自然科学版),2001,(04):355-359.
 DaiLongcheng XuanYimin LiuHaoming YinJian.Wavelet Analysis of Sensing Signals Drowned by Noises[J].Journal of Nanjing University of Science and Technology,2001,(04):355-359.
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对噪声淹没的传感信号进行小波分析处理()
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2001年04期
页码:
355-359
栏目:
出版日期:
2001-08-30

文章信息/Info

Title:
Wavelet Analysis of Sensing Signals Drowned by Noises
作者:
戴龙成宣益民刘皓明尹健1
南京理工大学动力学院, 南京210094
¹ 空军第八研究所, 北京100076
Author(s):
DaiLongcheng XuanYimin LiuHaoming YinJian ①
School of Power Engineering,NUST,Nanjing 210094)
关键词:
发射装置 传感器 噪声消除 小波分析
Keywords:
launchers sensors noise eliminat ion w avelet analysis
分类号:
TP14
摘要:
叙述了研究氮气弹射系统的背景和目的 ,并用速度传感器对导弹的分离过程进行了试验验证。但由于影响导弹安全分离因素的存在 ,所测得的导弹分离参数和分离姿态往往被外界噪声所淹没 ,利用该文提出的小波分析方法 ,有效地区分信号中的突变部分和噪声 ,从而实现对信号的去噪 ,识别含噪信号中有用信号的发展趋势 ,同时将重建信号与理论计算值作一比较 ,结果证明 ,小波分析方法在导弹安全分离中得以应用的有效性。
Abstract:
The backgrow nd and objective of the nit rogen launching system are proposed to test the missiles’ detachment. The tested parameters of the detachment are of ten drow ned by foreign noises. The w avelet analysis is used to disting uisk the mutation from noise, thus elim-i nat ing the noises and recognizing the trend of useful signals. The comparison betw een reconst ructed signals and theoret ical values is to show the validity of the applicat ion of wavelet analysis to the safe detachment .

参考文献/References:

1 Dai Longcheng , Xuan Yimin, Yin Jian. Dy namic analysis & rea-l time simulation of nitrogen launching system. Journal of Ballist ics, 2000, 12( 4) : 18~ 23
2 Suh C H, Radcliffe C W. Kinematics and mechanisms design. New York: Jo hn Wiley & Sons I nc,1978
3 Li Jianpan. Dynamics of pneumat ics. Shenzhen: South China University of Technology Press, 1991
4 Hu Chang hua, Zhang Junbo. The analysis and design of system based on MatLab-Wavelet analysis.Xi‘ an: , Xidian University Press, 1999

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备注/Memo

备注/Memo:
戴龙成 男 25 岁 博士生
更新日期/Last Update: 2013-03-25