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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TP2

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    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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  • Received:
  • Revised:
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  • Online: May 25,2016
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