基于形态学的滤波消除泥浆脉冲信号基线漂移

Removing Baseline Drifting in Mud Pulse Signals Based on Morphological Filtering

摘要: 建立了用于消除泥浆脉冲信号基线漂移的形态学滤波器。采用最小二乘多项式拟合法、中值滤波法和形态学滤波法等3种方法处理泥浆脉冲PPM编码信号的基线漂移，并利用信噪比、均方根误差、归一化相关系数定量分析计算结果。对比结果表明，形态学滤波法消除泥浆脉冲信号基线漂移效果最佳。

Abstract: A morphological filter for removing mud pulse baseline drifting was established. The baseline drifting of simulated PPM encoding signal of mud pulse was processed by least-square polynomial fitting, median filtering and morphological filtering methods, respectively. The results were quantitatively analyzed by using signal to noise ratio (S_NR), root mean square error (E_rms) and normalized correlation coefficient (C_ncc). The analysis result shows that the morphological filtering method proposed is the best for removing the baseline drift of mud pulse signal.