Signal-to-noise ratio improvement for BOTDA using CEEMDAN-WT method

Home > Archive>Volume 36, Issue 12, 2022 >28-36

Signal-to-noise ratio improvement for BOTDA using CEEMDAN-WT method
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                        Yang RuiYang Rui
1. Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province, Taiyuan University of technology
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Li WeiqinLi Weiqin
1. Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province, Taiyuan University of technology
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Bai QingBai Qing
1. Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province, Taiyuan University of technology,2. Shanxi Transportation Technology Research & Development Co. , Ltd.
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Wang YuWang Yu
1. Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province, Taiyuan University of technology,2. Shanxi Transportation Technology Research & Development Co. , Ltd.
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Liu XinLiu Xin
1. Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province, Taiyuan University of technology,2. Shanxi Transportation Technology Research & Development Co. , Ltd.
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Jin BaoquanJin Baoquan
1. Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province, Taiyuan University of technology
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Abstract:

To improve the Brillouin optical time domain analysis (BOTDA) system performance limited by signal noise, we proposed a noise reduction method based on complete ensemble empirical mode decomposition with adaptive noise combined wavelet threshold (CEEMDAN-WT). First, the noise reduction principle of CEEMDAN-WT algorithm is analyzed. Besides, the BOTDA signal demodulation model is set up based on the principle of microwave sweep frequency measurement. The simulation results show that CEEMDAN-WT method can remove the random noise in the signal effectively. Then, the BOTDA system is set up for temperature measurement. The CEEMDAN-WT method is adopted to suppress the noise of each measured power curve at different sensing distances and different spatial resolutions. Finally, the experimental results show that the signal-to-noise ratio ( SNR) at the end of the optical fiber is improved by 8. 89 dB utilizing the CEEMDAN-WT noise reduction method, under the sensing distance of 30 km and the spatial resolution of 2 m. Research show that the CEEMDAN-WT method provides an effective scheme for improving the SNR of BOTDA.

Key words:Brillouin optical time domain analyzer; CEEMDAN; wavelet threshold; signal-to-noise ratio

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Online: March 29,2023
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