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
- Laser & Optoelectronics Progress
- Vol. 57, Issue 15, 150601 (2020)
Fig. 1. Results of Blocks signal obtaiend by EEDM with RSN=5 dB. (a) Noisy signal; (b) IMF components; (c) residual component and partial IMF components
Fig. 2. Principle of proposed EEMD-M
Fig. 3. Correlation coefficient of IMF components and original signal after EEMD for Blocks signal with RSN=5 dB
Fig. 4. 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
Fig. 5. Allan variance results of original signal and de-noising signals obtained by different algorithms
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Table 1. Comparison of de-noising results for Blocks signal using proposed EEMD-M and some other algorithms
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Table 2. Comparison of de-noising results of gyroscope signal using proposed algorithm and some other algorithms
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