Laser & Optoelectronics Progress, Volume. 57, Issue 15, 150601(2020)

De-Noising Method for Gyroscope Signal Based on Improved Ensemble Empirical Mode Decomposition

Qian Wu and Yu Liu*
Author Affiliations
  • School of Microelectronics, Tianjin University, Tianjin 300072, China
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    Figures & Tables(7)
    Results of Blocks signal obtaiend by EEDM with RSN=5 dB. (a) Noisy signal; (b) IMF components; (c) residual component and partial IMF components
    Principle of proposed EEMD-M
    Correlation coefficient of IMF components and original signal after EEMD for Blocks signal with RSN=5 dB
    Original signal and de-noising results of gyroscope signal using different algorithms (taking z-axis as an example). (a) Original signal; (b) wavelet denoising; (c) EMD denoising; (d) DFA-EMD denoising; (e) EEMD denoising; (f) proposed algorithm
    Allan variance results of original signal and de-noising signals obtained by different algorithms
    • Table 1. Comparison of de-noising results for Blocks signal using proposed EEMD-M and some other algorithms

      View table

      Table 1. Comparison of de-noising results for Blocks signal using proposed EEMD-M and some other algorithms

      SignalInput RSN /dBRSN after denoising /dB
      WaveletEMDEMD-DFAEEMDProposed method
      19.469.6310.067.7112.97
      210.329.8110.798.7413.50
      310.759.8311.629.6713.96
      411.509.1412.4110.6914.48
      511.909.2013.1711.6514.99
      612.7213.8713.7812.5915.41
      713.2614.5814.7813.5415.87
      Blocks814.0615.2514.6914.4316.50
      914.5616.0215.8015.3117.05
      1015.1416.6214.2516.1817.61
      1115.9217.0516.1016.9018.15
      1216.7117.5614.4017.7918.92
      1317.4316.6017.8218.4719.54
      1418.3017.0315.5019.1220.06
      1518.8817.7918.6619.8220.51
    • Table 2. Comparison of de-noising results of gyroscope signal using proposed algorithm and some other algorithms

      View table

      Table 2. Comparison of de-noising results of gyroscope signal using proposed algorithm and some other algorithms

      SignalNoisysignalWaveletdenoising signalEMD signalDFA-EMDsignalEEMDsignalSignal obtained byproposed method
      MSE4.4075×10-21.0777×10-29.2160×10-38.3660×10-38.7990×10-37.5510×10-3
      MAE0.16720.09010.08680.08630.08660.0862
      Maximum error0.85370.35720.27640.21230.23480.1143
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    Qian Wu, Yu Liu. De-Noising Method for Gyroscope Signal Based on Improved Ensemble Empirical Mode Decomposition[J]. Laser & Optoelectronics Progress, 2020, 57(15): 150601

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Oct. 18, 2019

    Accepted: Nov. 25, 2019

    Published Online: Aug. 4, 2020

    The Author Email: Yu Liu (liuyu@tju.edu.cn)

    DOI:10.3788/LOP57.150601

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