| 杨 瑞,李维勤,白 清,王 宇,刘 昕,靳宝全.CEEMDAN-WT 降噪提升 BOTDA 信噪比研究[J].电子测量与仪器学报,2022,36(12):28-36 |
| CEEMDAN-WT 降噪提升 BOTDA 信噪比研究 |
| Signal-to-noise ratio improvement for BOTDA using CEEMDAN-WT method |
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| DOI： |
| 中文关键词: 布里渊光时域分析仪 CEEMDAN 小波阈值 信噪比 |
| 英文关键词:Brillouin optical time domain analyzer CEEMDAN wavelet threshold signal-to-noise ratio |
| 基金项目:中国博士后科学基金 (2021M691989)、山西省重点研发计划（202102130501021）、山西省科技创新人才团队专项（201805D131003）项目资助 |
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| Author | Institution |
| Yang Rui | 1. Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province, Taiyuan University of technology |
| Li Weiqin | 1. Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province, Taiyuan University of technology |
| Bai 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. |
| Wang 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. |
| Liu 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. |
| Jin 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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| 中文摘要: |
| 针对布里渊光时域分析仪(BOTDA)存在的信号噪声问题,提出一种自适应噪声完备集合经验模态分解联合小波阈值
(CEEMDAN-WT)的降噪方法。 首先,分析了 CEEMDAN-WT 算法降噪原理,基于微波扫频测量原理建立了 BOTDA 信号解调模
型,通过仿真研究验证了 CEEMDAN-WT 方法可有效去除信号中的随机噪声。 其次,搭建了 BOTDA 测温系统,在不同传感距离
和不同空间分辨率下进行了降噪效果实验验证。 结果表明,在 30 km 的传感距离和 2 m 的空间分辨率下,CEEMDAN-WT 方法
将光纤末端的信噪比提升了 8. 89 dB。 研究证明,CEEMDAN-WT 方法可为 BOTDA 信噪比提升提供一种有效方案。 |
| 英文摘要: |
| 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. |
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