对噪声淹没的传感信号进行小波分析处理

Wavelet Analysis of Sensing Signals Drowned by Noises

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。

The backgrownd and objective of the nitrogen launching system are proposed to test the missiles' detachment.The tested parameters of the detachment are often drowned by foreign noises.The wavelet analysis is used to distinguisk the mutation from noise,thus eliminating the noises and recognizing the trend of useful signals.The comparison between reconstructed signals and theoretical values is to show the validity of the application of wavelet analysis to the safe detachment.