中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 合肥物质科学研究院
  3. 中国科学院合肥物质科学研究院
Research on denoising method based on temperature and humidity profile lidar

文献类型：期刊论文

作者Zhang, Bowen1,2; Fan, Guangqiang2; Zhang, Tianshu2
刊名SCIENTIFIC REPORTS
出版日期2024-09-10
卷号14
关键词Raman lidar Signal processing VMD Wavelet denoising
ISSN号2045-2322
DOI10.1038/s41598-024-71876-4
通讯作者Fan, Guangqiang(gqfan@aiofm.ac.cn) ; Zhang, Tianshu(tszhang@aiofm.ac.cn)
英文摘要Due to the fact that the vibration and pure rotational Raman signals collected by the temperature and humidity profile lidar were 3-4 orders of magnitude weaker than the Mie scattering signal, they were susceptible to electronic and white noise interference, which seriously affected the system signal-to-noise ratio. In this paper, an improved VMD-WT filtering method was adopted to extract effective signals and denoise. The processing outcome of several filtering algorithms was evaluated, and noisy signals were simulated to confirm the algorithm's efficacy. Based on the quantitative computation of evaluation indicators, such as signal-to-noise ratio, root mean square error, and correlation, the improved VMD-WT algorithm had more significant advantages in indicators such as signal-to-noise ratio. In order to further verify the robustness and adaptability of the proposed algorithm, experimental analysis of the filtering algorithm was conducted on the continuously collected temperature and humidity measured signals. The results demonstrated that the algorithm not only improved the detection range of lidar and suppressed high-altitude noise effectively, but also performed well in processing strong interference signals, like clouds, which led to a significant improvement in the atmospheric optical parameter inversion results. Furthermore, pseudo-color images of aerosols, temperature, and humidity changes over time and space have been used to further illustrate the algorithm's dependability and wide range of potential uses.
WOS关键词VARIATIONAL MODE DECOMPOSITION ; NOISE-REDUCTION ; SIGNAL
资助项目National Key R&D Program of China[2022YFC3700400] ; National Key R&D Program of China[2022YFC3704000] ; National Natural Science Foundation of China[42005106] ; National Natural Science Foundation of China[41941011]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:001317044700061
出版者NATURE PORTFOLIO
资助机构National Key R&D Program of China ; National Natural Science Foundation of China
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/135404]  
专题中国科学院合肥物质科学研究院
通讯作者Fan, Guangqiang; Zhang, Tianshu
作者单位1.Univ Sci & Technol China, Hefei 230026, Peoples R China
2.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Bowen,Fan, Guangqiang,Zhang, Tianshu. Research on denoising method based on temperature and humidity profile lidar[J]. SCIENTIFIC REPORTS,2024,14.
APA Zhang, Bowen,Fan, Guangqiang,&Zhang, Tianshu.(2024).Research on denoising method based on temperature and humidity profile lidar.SCIENTIFIC REPORTS,14.
MLA Zhang, Bowen,et al."Research on denoising method based on temperature and humidity profile lidar".SCIENTIFIC REPORTS 14(2024).

入库方式： OAI收割

来源：合肥物质科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。