基于小波变换速变非平稳信号的消噪

Denosing of Rapid Variation Non-Stationary Signal Based on Wavelet Analysis

本文针对遥测速变数据中噪声干扰有用信号分析的处理问题,提出了基于小波分析理论,利用二进制小波变换对含噪信号进行小波分解,然后选取适当的阈值,对小波分解系数进行阈值量化,最后再对高低频系数重构,实现信噪分离。并在导弹试验数据中得到了验证。分析结果表明小波变换是非平稳信号消噪一种有效方法。

The paper aim at dealing with the problem that the telemetry rapid variation of parameter is disturbed by the noise. It propose a method based on the theory of wavelet analysis, applies the wavelet transformation of binary system to factorize the signal jammed by the noise, selects an appropriate threshold value to estimate the coefficient of the wavelet factorization, then it re-constructs the coefficient of the hige and low frequency. In this way, it realizes the separation of the signal and noise. This method is validated in the missle test data. It indicate that the wavelet transformation is an effective way to remove the noise of the non-stationary signal.