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

作　　者：张鹏[1,2] 魏志[2] 王春[2] 孙宁[2] 谢艳[2] 

机构地区：[1]四川大学电气信息学院,成都610065 [2]中国空气动力研究与发展中心高速所,四川绵阳621000

出　　处：《兵工自动化》2013年第5期63-67,共5页Ordnance Industry Automation

基　　金：解放军总装备部"气动预研基金"(51313040205)

摘　　要：针对传统的低通滤波方法会丢失连续信号的有用部分、难以真实反映飞行器气动力非线性或突变区域的信号特征的问题,提出一种基于小波变换的阈值降噪方法。从小波变换理论出发,使用Matlab小波分析工具箱中自带函数对信号进行降噪处理。通过分析发现,通过db24小波处理后的结果与原信号的相似度更高,降噪效果更好,并通过风洞连续变迎角试验数据进行验证。分析结果表明:该方法在降低噪声影响的同时,较好地保留了飞行器模型气动力非线性或突变区域信号的非局部平稳特性。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 

分 类 号：TJ86[兵器科学与技术—武器系统与运用工程]