Acta Optica Sinica, Volume. 41, Issue 24, 2401001(2021)

Comparison of De-Noising Methods of LiDAR Signal

Hongbo Ding1,2, Zhenzhu Wang1,3、*, and Dong Liu1,3
Author Affiliations
  • 1Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2University of Science and Technology of China, Hefei, Anhui 230026, China
  • 3Advanced Laser Technology Laboratory of Anhui Province, Hefei, Anhui 230037, China
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    Figures & Tables(8)
    Simulation results of cumulative pulse signals with noise
    Experimental results of de-noising of 10-pulse cumulative simulation signals. (a) Original signal; (b) WT; (c) EMD-PR; (d) EMD-DT; (e) EMD-IT; (f) EMD-WT; (g) WT-EMD; (h) VMD-PR; (i) VMD-WT; (j) WT-VMD
    Experimental results of de-noising of 100-pulse cumulative simulation signals. (a) Original signal; (b) WT; (c) EMD-PR; (d) EMD-DT; (e) EMD-IT; (f) EMD-WT; (g) WT-EMD; (h) VMD-PR; (i) VMD-WT; (j) WT-VMD
    Experimental results of de-noising of 1000-pulse cumulative simulation signals. (a) Original signal; (b) WT; (c) EMD-PR; (d) EMD-DT; (e) EMD-IT; (f) EMD-WT; (g) WT-EMD; (h) VMD-PR; (i) VMD-WT; (j) WT-VMD
    • Table 1. Simulation parameters of LiDAR system

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      Table 1. Simulation parameters of LiDAR system

      System parameterValue
      Pulse energy /μJ10
      Receiver diameter/mm200
      Field of view /μrad200
      Total optical transmittance0.1
      Filter bandwidth /nm0.3
      Range resolution /m30
      Detection quantum efficiency0.1
      Dark counts per second500
    • Table 2. Evaluation index of 10-pulse cumulative signal after denoising

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      Table 2. Evaluation index of 10-pulse cumulative signal after denoising

      MethodRMSESNR /dBSmoothness
      Original signal0.59524.3427229.0331
      WT0.34319.128076.0482
      EMD-PR0.278110.95230.4930
      EMD-DT0.256911.63956.5856
      EMD-IT0.220812.95502.2844
      EMD-WT0.278110.95300.4928
      WT-EMD0.232912.49282.0597
      VMD-PR0.143416.70260.4143
      VMD-WT0.143516.70100.4079
      WT-VMD0.139116.97030.4168
    • Table 3. Evaluation index of 100-pulse cumulative signal after denoising

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      Table 3. Evaluation index of 100-pulse cumulative signal after denoising

      MethodRMSESNR /dBSmoothness
      Original signal2.222212.900423.1526
      WT1.627915.603711.1812
      EMD-PR1.251917.88470.4357
      EMD-DT1.283617.66731.5045
      EMD-IT1.136318.72600.6524
      EMD-WT1.251917.88480.4357
      WT-EMD1.211618.16891.5918
      VMD-PR1.230918.03140.4313
      VMD-WT1.231618.02660.4248
      WT-VMD1.086119.11890.4633
    • Table 4. Evaluation index of 1000-pulse cumulative signal after denoising

      View table

      Table 4. Evaluation index of 1000-pulse cumulative signal after denoising

      MethodRMSESNR /dBSmoothness
      Original signal6.240923.93132.9217
      WT4.194127.38351.6554
      EMD-PR4.363027.04040.9976
      EMD-DT3.882528.05380.8848
      EMD-IT3.757728.33770.8562
      EMD-WT4.126227.52510.9582
      WT-EMD3.499028.95720.8313
      VMD-PR3.638528.61770.7929
      VMD-WT3.597128.71710.7887
      WT-VMD3.295229.47860.7903
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    Hongbo Ding, Zhenzhu Wang, Dong Liu. Comparison of De-Noising Methods of LiDAR Signal[J]. Acta Optica Sinica, 2021, 41(24): 2401001

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Mar. 29, 2021

    Accepted: Jun. 18, 2021

    Published Online: Nov. 30, 2021

    The Author Email: Wang Zhenzhu (zzwang@aiofm.ac.cn)

    DOI:10.3788/AOS202141.2401001

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