Sidelobe Suppression Method with Improved CLEAN Algorithm for Pulse Compression OTDR
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.
Authors
- Chuanlu Deng (ORCID: https://orcid.org/0009-0007-6497-2430)
- Wei Jin (ORCID: https://orcid.org/0000-0002-6913-8265)
- Xiaofeng Chen (ORCID: https://orcid.org/0000-0003-4062-4515)
- Yi Huang (ORCID: https://orcid.org/0000-0002-4381-6291)
- Jianming Tang (ORCID: https://orcid.org/0000-0001-6453-5862)
- Xiaobei Zhang (ORCID: https://orcid.org/0000-0002-9228-8720)
- Lisen Wang
- Chengyong Hu (ORCID: https://orcid.org/0000-0003-0026-3997)
- Ziyi Wei (ORCID: https://orcid.org/0009-0009-0603-9401)
- Wei Chen (ORCID: https://orcid.org/0000-0003-1188-4510)
- Qi Zhang (ORCID: https://orcid.org/0000-0002-6865-5981)
- Lin Chen (ORCID: https://orcid.org/0000-0002-5696-0110)
- Tingyun Wang (ORCID: https://orcid.org/0000-0002-9106-3087)
- Wei Shen
Institutions
- Shanghai University (CN)
- Bangor University (GB)
- Shanghai University of Electric Power (CN)
Publication Details
- Journal
- IEEE Photonics Technology Letters
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1109/lpt.2024.3465501
- Citations
- 4
- Primary Topic
- Advanced Fiber Optic Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.83
Funders
- National Natural Science Foundation of China
- Higher Education Discipline Innovation Project
- Engineering and Physical Sciences Research Council