摘要
在飞行事故调查中,飞行参数是依据,飞参数据各通道参数中存在的干扰噪声,不同程度的影响着实际中的应用,利用传统的降噪滤波方法失真度大,降低了数据的可信度。小波分析可对信号进行多分辨分解及重构,具有提取数据高频和低频部分特征的能力。在分析小波分析信号降噪方法的基础上,以Matlab为平台分别利用快速傅里叶变换和小波分析对某型飞机的飞参数据的俯仰角通道数据进行了降噪处理进行仿真。结果表明小波分析降噪性能优异,可信度高。方法已在基于飞参数据的多项应用中得到推广。
The practical applications are prohibited more or less due to the noise pollution in flight data.But the traditional methods of denoising have higher distortion and lower reliability.Wavelet analysis has the capability of multi-resolution decomposition and reconstruction,extracting features from the upper and lower frequencies of the data.The simulation of data denoising to pitch angle of a type aircraft was carried out based on research of the method of wavelet denoising in matlab.The results showed that the method is high performance and credibility.The method has been promoted in any applications based on flight data.
出处
《计算机仿真》
CSCD
北大核心
2010年第10期1-4,共4页
Computer Simulation
关键词
小波分析
飞参数据
降噪
傅里叶变换
Wavelet Analysis
Flight Data
Denoising
Fourier Transform
