基于小波分析与数学形态学融合算法对地磁信号降噪处理的应用

Application of Wavelet Analysis and Mathematical Morphology Fusion Algorithm to De-noising Geomagnetic Signal

本文拟应用MATLAB软件对容易受到外界环境干扰和由于仪器自身干扰的影响,对地磁信号进行降噪处理。通过小波分析和数学形态学融合算法,同时将该方法与数学形态学算法两者进行对比分析,并且计算出降噪后信号相对于含噪信号的均方误差的值,然后对其不同算法的降噪信号的处理结果与未受干扰的原始正常信号进行对比分析,分别求其信噪比的大小,综合考虑两种算法对地磁含噪信号处理的优势和劣势。进而得出小波分析与数学形态学算法对地磁信号的降噪处理,能最大化的减少信号的失真程度,保留其原始形态。为以后批量处理地磁观测的干扰数据提供新方法和新思路,同时也能抑制对地磁信号的干扰和提高观测数据的内在质量。

This paper uses MATLAB software to denoise geomagnetic signals,which are easily interfered by external environment and because of the interference of the instrument itself.Through the wavelet analysis and mathematical morphology fusion algorithm,and the method and mathematical morphology algorithm both are analyzed and calculated the denoised signal with respect to the mean square error of the noisy signal values were compared and results of the noise reduction signal of different algorithms and the undisturbed original normal signal,respectively the signal-to-noise ratio,considering two kinds of algorithm of the geomagnetic signal with noise processing advantages and disadvantages.It is concluded that wavelet analysis and mathematical morphology algorithm can reduce the degree of signal distortion and retain its original form to reduce the noise of geomagnetic signal.It will provide new methods and new ideas for batch processing geomagnetic observation disturbance data in the future.At the same time,it can also suppress the interference of geomagnetic signals and improve the internal quality of observation data.