New Denoising Method for Lidar Signal by the WT-VMD Joint Algorithm
文献类型：期刊论文
| 作者 | Wang, Zhenzhu1,2,3 ; Ding, Hongbo2,3; Wang, Bangxin1,2,3; Liu, Dong1,2,3
|
| 刊名 | SENSORS
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 22 |
| 关键词 | lidar denoising WT EMD VMD SSA WT-VMD |
| DOI | 10.3390/s22165978 |
| 通讯作者 | Wang, Zhenzhu(zzwang@aiofm.ac.cn) |
| 英文摘要 | Light detection and ranging (LIDAR) is an active remote sensing system. Lidar echo signal is non-linear and non-stationary, which is often accompanied by various noises. In order to filter out the noise and extract valid signal information, a suitable method should be chosen for noise reduction. Some denoising methods are commonly used, such as the wavelet transform (WT), the empirical mode decomposition (EMD), the variational mode decomposition (VMD), and their improved algorithms. In this paper, a new denoising method named the WT-VMD joint algorithm based on the sparrow search algorithm (SSA), for lidar signal is selected by comparative experiment analysis. It is shown that this method is the most suitable one with the maximum signal-to-noise ratio (SNR), the minimum root-mean-square error (RMSE), and a relatively small indicator of smoothness when it is used in three kinds (50, 100, and 1000 pulses) of simulate lidar signals. The SNR is increased by 138.5%, 77.8% and 42.8% and the RMSE is decreased by 81.8%, 72.0% and 68.8% when being used to the three kinds of cumulative signal without pollution. Then, the SNR is increased by 83.3%, 60.4% and 24.0% and the RMSE is decreased by 70.8%, 66.0% and 50.5% when being used to the three kinds of cumulative signal with aerosol and clouds. The WT-VMD joint algorithm based on SSA is used in the denoising process for the actual lidar signal, showing extraordinary denoising effect and will improve the inversion accuracy of the lidar signal. |
| WOS关键词 | EMPIRICAL MODE DECOMPOSITION |
| 资助项目 | National Natural Science Foundation of China[41975038] ; National Natural Science Foundation of China[42111530028] ; Natural Science Foundation of Anhui Province[2008085J33] ; Key research and Development Program of Anhui Province[2022h11020008] ; Youth Innovation Promotion Association CAS[Y2021113] |
| WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000845211600001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Anhui Province ; Key research and Development Program of Anhui Province ; Youth Innovation Promotion Association CAS |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/131908]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Wang, Zhenzhu |
| 作者单位 | 1.Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China 2.Univ Sci & Technol China, Sci Isl Branch, Grad Sch, Hefei 230026, Peoples R China 3.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Atmospher Opt, Hefei 230031, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Zhenzhu,Ding, Hongbo,Wang, Bangxin,et al. New Denoising Method for Lidar Signal by the WT-VMD Joint Algorithm[J]. SENSORS,2022,22. |
| APA | Wang, Zhenzhu,Ding, Hongbo,Wang, Bangxin,&Liu, Dong.(2022).New Denoising Method for Lidar Signal by the WT-VMD Joint Algorithm.SENSORS,22. |
| MLA | Wang, Zhenzhu,et al."New Denoising Method for Lidar Signal by the WT-VMD Joint Algorithm".SENSORS 22(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
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