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《Journal of Beijing University of Technology》 2013-05
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MWD Mud Pulse Signal Waveform Recognition Method Based on Local Feature and Correlation Coefficient

TU Bing1,LI De-sheng1,LIN En-huai2,JI Miao-miao1,ZHANG Juan-juan1(1.College of Mechanical Engineering and Applied Electronics Technology,Beijing University of Technology,Beijing 100124,China; 2.Beijing Pulimen Electronic Science & Technology Co.,LTD.,Beijing 100041,China)  
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.
【Fund】: 国家“863”计划资助项目(2006AA06Z239)
【CateGory Index】: TE243
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