| 基于小波变换和模式识别随钻测量系统通信信号处理方法研究 |
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| 引用本文： | 董夏妮,王成林. 基于小波变换和模式识别随钻测量系统通信信号处理方法研究[J]. 电子测量技术, 2016, 39(5): 146-149. DOI: 10.3969/j.issn.1002-7300.2016.05.040 |
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| 作者姓名： | 董夏妮 王成林 |
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| 作者单位： | 北京航空航天大学 电子信息工程学院 北京 100191 |
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| 摘 要： | 基于泥浆脉冲信道的通信信号处理是石油随钻测量系统的关键技术之一。针对恶劣工况环境下的泥浆脉冲信号数据处理，分析了泥浆脉冲信道衰减特点及其噪声特性，建立了泥浆脉冲信号的滤波、识别模型，给出结合小波变换、相关滤波、模式识别、聚类相关的组合处理方法，避免了以 FIR滤波、门限法识别的组合方法，其实时性差、门限值对解码结果影响大的局限性。现场测试结果表明，该方法能够有效解算井下测量数据，改善了信号识别率，提高了实时性。
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| 关 键 词： | 随钻系统 泥浆脉冲 小波变换 信号识别 |
MWD system based on wavelet transformation and pattern recognition communication signal processing method and research |
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| Dong Xiani and Wang Chenglin. MWD system based on wavelet transformation and pattern recognition communication signal processing method and research[J]. Electronic Measurement Technology, 2016, 39(5): 146-149. DOI: 10.3969/j.issn.1002-7300.2016.05.040 |
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| Authors: | Dong Xiani and Wang Chenglin |
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| Affiliation: | Electronic information engineering college, Beihang University, Beijing 100191, China and Electronic information engineering college, Beihang University, Beijing 100191, China |
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| Abstract: | signal processing based on mud pulse is one key of technologies of MWD system.In this paper,the characteristics of mud pulse channel and its noise is analyzed, signal filtering model and identification model is established,one signal processing method consists of wavelet transform,correlation filtering,pattern,recognition and clustering is given for mud pulse signal data processing under bad working environment,which avoid to limitations of bad real-time performance and bad influence from the threshold Field test results show that the method can decode down hole measurement data effectively and improve the signal recognition rate and real-time performance. |
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| Keywords: | while drilling system mud pulse wavelet transform signal recognition |
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