泥浆信道数据压缩和纠错联合编码研究
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北京航空航天大学电子信息工程学院北京100191

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TP2

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Mud channel data compression and error correction coding research
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Electronic Information Engineering College, Beihang University, Beijing 100191, China

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    摘要:

    泥浆脉冲通信是无线随钻测井系统中主用通信方式,泥浆信道本身衰减较大,且信道噪声复杂。针对泥浆信道及噪声特性进行分析,提出了一种适用于泥浆脉冲信号的联合编码方法,其在对信号进行无损压缩的同时可针对突发错误和随机错误进行纠正,保证传输效率的同时降低系统误码率,且不会增加设备复杂度。最后以现场测井数据为基础,表明LZW的最大压缩比可达3:1,并通过仿真实验证明该联合编码方法具有良好的抗噪声性能,能较好地重构测井数据,验证了其有效性。

    Abstract:

    Mud pulse signal communication is the main communication way of wireless logging with drilling system, but the mud channel attenuation is large, and the channel noise is complex. A joint coding method which is suitable for the mud pulse signal was proposed, after analyzing the mud channel characteristic and noise source,in addition to realizing lossless compression it can correct unexpected errors and random errors as well,the coding method guarantees the transmission efficiency and at the same time reduces the bit error rate, and will not increase the complexity of the equipment. Finally based on the field logging data, it shows that the maximum compression ratio of LZW is 3:1, and through the simulation experiment, the result proves its antinoise effect, logging data can be well reconstructed, which verifies the effectiveness of the joint coding method.

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李婷,史晓锋.泥浆信道数据压缩和纠错联合编码研究[J].电子测量技术,2016,39(4):133-135

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  • 在线发布日期: 2016-05-25
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