基于局部特征和相关系数的MWD泥浆脉冲信号识别

MWD Mud Pulse Signal Waveform Recognition Method Based on Local Feature and Correlation Coefficient

针对MWD(measure while drilling)泥浆脉冲信号提取和识别问题,对泥浆脉冲信号中夹杂的各种噪声进行分析,用相关去噪算法和移动中值估计算法来消除泥浆脉冲信号中的噪声和基值漂移;然后针对曼彻斯特编码的泥浆脉冲信号特征,将局部特征算法和相关系数算法应用到了泥浆脉冲信号的识别上.现场实验结果表明:提出的去噪和解码算法过程简单实用,具有可靠性高、误码率低等特点,符合工程应用的要求.

This paper analyzes the inclusions in the mud pulse signal noise. Correlation de-noising algorithm and moving median estimate algorithm to eliminate the mud pulse signal noise and pump base value drift were applied. Then for Manchester encode mud pulse signal characteristics, the correlation coefficient identification algorithm and local feature recognition algorithm were applied to the identification of the mud pulse signal. The experimental results show that the process of de-noising and decoding algorithm is simple and practical, high reliability, low decode error rate. All these comply with the requirements of the engineering application.