Low Complexity Encoding Design for Fiber Optic Measurement While Drilling Communication System Based on Superposition Spinal Codes

Fiber optic communication while drilling can transmit downhole geological and engineering parameter data at high speed, serving as a crucial component of intelligent drilling. However, the complex and highly dynamic downhole environment, characterized by strong vibrations and high temperatures, can...

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Main Authors: Xiaoyang Yu, Lei Liang, Ke Jiang, Tianwei Chen, Shangming Du
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10713303/
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author Xiaoyang Yu
Lei Liang
Ke Jiang
Tianwei Chen
Shangming Du
author_facet Xiaoyang Yu
Lei Liang
Ke Jiang
Tianwei Chen
Shangming Du
author_sort Xiaoyang Yu
collection DOAJ
description Fiber optic communication while drilling can transmit downhole geological and engineering parameter data at high speed, serving as a crucial component of intelligent drilling. However, the complex and highly dynamic downhole environment, characterized by strong vibrations and high temperatures, can lead to random attenuation of light intensity, phase mismatch, and signal distortion, thereby reducing the signal-to-noise ratio of the optical signal. This paper proposes a superposition UEP-Spinal code structure to enhance the noise resistance of signals under low SNR conditions. This structure utilizes Unequal Error Protection and adjusts the duty cycle of the superposition weighting factor P to separately encode the head and tail codes of the signal, simplifying the structural complexity of the tail code and reducing complexity by 2.01dB for the same code length. Meanwhile, it enhances the noise resistance of the head code, reducing the bit error rate by 1.21dB for the same channel capacity, and the overall decoding complexity is reduced by 13.3%. The results demonstrate that the superposition UEP-Spinal code can achieve stable and reliable communication in low SNR environments.
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institution OA Journals
issn 2169-3536
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publishDate 2024-01-01
publisher IEEE
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spelling doaj-art-9859dbe60a1b4ccfb04bd978d005560d2025-08-20T02:18:46ZengIEEEIEEE Access2169-35362024-01-011215559815560610.1109/ACCESS.2024.347763610713303Low Complexity Encoding Design for Fiber Optic Measurement While Drilling Communication System Based on Superposition Spinal CodesXiaoyang Yu0https://orcid.org/0009-0000-1723-8056Lei Liang1https://orcid.org/0000-0003-4264-1597Ke Jiang2https://orcid.org/0000-0002-7938-4769Tianwei Chen3Shangming Du4https://orcid.org/0009-0003-8478-258XNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan, Hubei, ChinaNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan, Hubei, ChinaNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan, Hubei, ChinaNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan, Hubei, ChinaNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan, Hubei, ChinaFiber optic communication while drilling can transmit downhole geological and engineering parameter data at high speed, serving as a crucial component of intelligent drilling. However, the complex and highly dynamic downhole environment, characterized by strong vibrations and high temperatures, can lead to random attenuation of light intensity, phase mismatch, and signal distortion, thereby reducing the signal-to-noise ratio of the optical signal. This paper proposes a superposition UEP-Spinal code structure to enhance the noise resistance of signals under low SNR conditions. This structure utilizes Unequal Error Protection and adjusts the duty cycle of the superposition weighting factor P to separately encode the head and tail codes of the signal, simplifying the structural complexity of the tail code and reducing complexity by 2.01dB for the same code length. Meanwhile, it enhances the noise resistance of the head code, reducing the bit error rate by 1.21dB for the same channel capacity, and the overall decoding complexity is reduced by 13.3%. The results demonstrate that the superposition UEP-Spinal code can achieve stable and reliable communication in low SNR environments.https://ieeexplore.ieee.org/document/10713303/Rateless codesspinal codeunequal error protectionlow complexity encoding
spellingShingle Xiaoyang Yu
Lei Liang
Ke Jiang
Tianwei Chen
Shangming Du
Low Complexity Encoding Design for Fiber Optic Measurement While Drilling Communication System Based on Superposition Spinal Codes
IEEE Access
Rateless codes
spinal code
unequal error protection
low complexity encoding
title Low Complexity Encoding Design for Fiber Optic Measurement While Drilling Communication System Based on Superposition Spinal Codes
title_full Low Complexity Encoding Design for Fiber Optic Measurement While Drilling Communication System Based on Superposition Spinal Codes
title_fullStr Low Complexity Encoding Design for Fiber Optic Measurement While Drilling Communication System Based on Superposition Spinal Codes
title_full_unstemmed Low Complexity Encoding Design for Fiber Optic Measurement While Drilling Communication System Based on Superposition Spinal Codes
title_short Low Complexity Encoding Design for Fiber Optic Measurement While Drilling Communication System Based on Superposition Spinal Codes
title_sort low complexity encoding design for fiber optic measurement while drilling communication system based on superposition spinal codes
topic Rateless codes
spinal code
unequal error protection
low complexity encoding
url https://ieeexplore.ieee.org/document/10713303/
work_keys_str_mv AT xiaoyangyu lowcomplexityencodingdesignforfiberopticmeasurementwhiledrillingcommunicationsystembasedonsuperpositionspinalcodes
AT leiliang lowcomplexityencodingdesignforfiberopticmeasurementwhiledrillingcommunicationsystembasedonsuperpositionspinalcodes
AT kejiang lowcomplexityencodingdesignforfiberopticmeasurementwhiledrillingcommunicationsystembasedonsuperpositionspinalcodes
AT tianweichen lowcomplexityencodingdesignforfiberopticmeasurementwhiledrillingcommunicationsystembasedonsuperpositionspinalcodes
AT shangmingdu lowcomplexityencodingdesignforfiberopticmeasurementwhiledrillingcommunicationsystembasedonsuperpositionspinalcodes