兵工自动化Issue(5)：63-67,5.DOI:10.7690/bgzdh.2013.05.017
基于小波变换的风洞连续信号降噪分析
Analysis of Wind Tunnel Continuous Signal De-Noising Based on Wavelet Transformation
摘要
Abstract
Aiming at the problem that the traditional low-pass filtering method will lose the useful part of the continuous signal and it is difficult to truly reflect the aircraft aerodynamic nonlinear or mutation of the signal characteristics of the area, proposed a method based on wavelet shrinkage to de-noising wind tunnel signal. Starting from the theory of the wavelet transformation, by using function in the Matlab wavelet analysis toolbox, find that db24 wavelet has the higher similarity with the original signal and the better de-noising performance, it also has proved by the wind tunnel continuously varying angle of attack test data. The analysis result shows that the method has a good de-noising performance and it also has good effects on reserving none-linear aerodynamics of the aircraft model or the non-stable character of the mutation signal.关键词
风洞信号/小波变换/飞行器模型Key words
wind tunnel signal/wavelet transform/aircraft model分类
军事科技引用本文复制引用
张鹏,魏志,王春,孙宁,谢艳..基于小波变换的风洞连续信号降噪分析[J].兵工自动化,2013,(5):63-67,5.基金项目
解放军总装备部“气动预研基金”(51313040205) （51313040205）
