Sidelobe Suppression Method with Improved CLEAN Algorithm for Pulse Compression OTDR
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In: IEEE Photonics Technology Letters, Vol. 36, No. 22, 23.09.2024.
Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Sidelobe Suppression Method with Improved CLEAN Algorithm for Pulse Compression OTDR
AU - Huang, Yi
AU - Chen, Xiaofeng
AU - Shen, Wei
AU - Wei, Ziyi
AU - Hu, Chengyong
AU - Deng, Chaunlu
AU - Wang, Lisen
AU - Zhang, Qi
AU - Chen, Wei
AU - Zhang, Xiaobei
AU - Chen, Lin
AU - Jin, Wei
AU - Tang, Jianming
AU - Wang, Tingyun
PY - 2024/9/23
Y1 - 2024/9/23
N2 - Although pulse compression optical time domain reflectometry (PC-OTDR) exhibits high performance in spatial resolution and dynamic range, it inevitably introduces auto-correlation sidelobes, potentially impacting measurement accuracy. In this letter, an improved CLEAN algorithm is proposed to efficiently suppress sidelobes and enhance the peak-to-sidelobe ratio (PSLR) of signals in PC-OTDR. The proposed method introduces an adaptive step factor instead of the traditional fixed factor to reduce the number of iterations. Compared to the traditional method, the proposed method achieves a 2.87 dB improvement of PSLR from a 10 km sensing fiber. In addition, the computation time cost is significantly reduced, which is 1.92 s less than that of the traditional CLEAN algorithm.
AB - Although pulse compression optical time domain reflectometry (PC-OTDR) exhibits high performance in spatial resolution and dynamic range, it inevitably introduces auto-correlation sidelobes, potentially impacting measurement accuracy. In this letter, an improved CLEAN algorithm is proposed to efficiently suppress sidelobes and enhance the peak-to-sidelobe ratio (PSLR) of signals in PC-OTDR. The proposed method introduces an adaptive step factor instead of the traditional fixed factor to reduce the number of iterations. Compared to the traditional method, the proposed method achieves a 2.87 dB improvement of PSLR from a 10 km sensing fiber. In addition, the computation time cost is significantly reduced, which is 1.92 s less than that of the traditional CLEAN algorithm.
U2 - 10.1109/LPT.2024.3465501
DO - 10.1109/LPT.2024.3465501
M3 - Article
VL - 36
JO - IEEE Photonics Technology Letters
JF - IEEE Photonics Technology Letters
SN - 1041-1135
IS - 22
ER -