基于最优小波包基的信号去噪算法及其应用

Signal denoising algorithm and its application based on best wavelet packet basis

摘要:

提出了一种基于Shannon熵准则的最优小波包基信号去噪算法,并将其应用于某型导弹惯导系统陀螺仪信号的去噪处理中。该算法在最优小波包基的基础上,针对不同频段采用不同的阈值算法,用量化后的系数重构得到去噪后的信号。仿真结果表明,该算法具有良好的去噪性能,并且消噪效果明显优于基于小波变换的去噪算法,因而将具有更为广泛的应用前景。

Abstract:

In this paper, a new signal denoising algorithm based on best wavelet packet basis which adopts Shannon entropy is discussed, and is applied in the gyro signal denoising of the inertial navigation system of the missile. The algorithm that is based on best wavelet packet basis adopts different methods of dealing coefficient for high frequency and lower frequency coefficients, and the denoised signal is got with these coefficients. Finally, the simulation results show that the algorithm has the favorable characteristics and the better signal denoising effect compared with signal denoising algorithm based on wavelet transform. So, it will be applied in more fields widely.