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Research on Novel Denoising Method of Variational Mode Decomposition in MEMS Gyroscope Cover

Research on Novel Denoising Method of Variational Mode Decomposition in MEMS Gyroscope

Open Access
|Mar 2021

References

  1. [1] Shen, C., Liu, X., Cao, H., Zhou, Y., Liu, J., Tang, J., Guo, X., Huang, H., Chen, X. (2019). Brain-like navigation scheme based on MEMS-INS and place recognition. Applied Sciences, 9 (8), 1708.10.3390/app9081708
  2. [2] Zhang, Y., Liu, W., Yang, X., Xing, S. (2015). Hidden Markov model-based pedestrian navigation system using MEMS inertial sensors. Measurement Science Review, 15 (1), 35-43.10.1515/msr-2015-0006
  3. [3] Cao, H., Cui, R., Liu, W., et al. (2021). Dual mass MEMS gyroscope temperature drift compensation based on TFPF-MEA-BP algorithm. Sensor Review, DOI: 10.1108/SR-09-2020-0205. (in press)10.1108/SR-09-2020-0205
  4. [4] Guo, X., Tang, J., Li, J., Shen, C., Liu, J. (2019). Attitude measurement based on imaging ray tracking model and orthographic projection with iteration algorithm. ISA Transactions, 95, 379-391.10.1016/j.isatra.2019.05.00931122693
  5. [5] Mellal, I., Laghrouche, M., Bui, H. (2017). Field programmable gate array (FPGA) respiratory monitoring system using a flow microsensor and an accelerometer. Measurement Science Review, 17 (2), 61-67.10.1515/msr-2017-0008
  6. [6] Shen, C., Zhang, Y., Tang, J., Cao, H., Liu, J. (2019). Dual-optimization for a MEMS-INS/GPS system during GPS outages based on the cubature Kalman filter and neural networks. Mechanical Systems and Signal Processing, 133, 106222.10.1016/j.ymssp.2019.07.003
  7. [7] Dichev, D., Koev, H., Bakalova, T., Louda, P. (2014). A gyro-free system for measuring the parameters of moving objects. Measurement Science Review, 14 (5), 263-269.10.2478/msr-2014-0036
  8. [8] Cui, J., Zhao, Q., Yan, G. (2019). Effective bias warmup time reduction for MEMS gyroscopes based on active suppression of the coupling stiffness. Microsystems & Nanoengineering, 5 (1).10.1038/s41378-019-0057-2650079131069109
  9. [9] Zhou, W., Chen, L., Yu, H., Chen, Y. (2016). Sensitivity jump of micro accelerometer induced by micro-fabrication defects of micro folded beams. Measurement Science Review, 16 (4), 228-234.10.1515/msr-2016-0028
  10. [10] Cao, H., Li, H., Shao, X., Liu, Z., Kou, Z., Shan, Y., Shi, Y., Shen, C., Liu, J. (2018). Sensing mode coupling analysis for dual-mass MEMS gyroscope and bandwidth expansion within wide-temperature range. Mechanical Systems & Signal Processing, 98, 448-464.10.1016/j.ymssp.2017.05.003
  11. [11] Cao, H., Liu, Y., Kou, Z., Zhang, Y., Shao, X., Gao, J., Huang, K., Shi, Y., Tang, J., Shen, C., Liu, J. (2019). Design, fabrication and experiment of double U-beam MEMS vibration ring gyroscope. Micromachines (Basel), 10 (3), 186.10.3390/mi10030186647151830871223
  12. [12] Wu, Z., Sun, Z., Zhang, W., Chen, Q. (2016). A novel approach for attitude estimation based on MEMS inertial sensors using nonlinear complementary filters. IEEE Sensors Journal, 16 (10), 3856-3864.10.1109/JSEN.2016.2532909
  13. [13] Shen, C., Li, J., Zhang, X., Shi, Y., Tang, J., Cao, H., Liu, J. (2016). A noise reduction method for dual-mass micro-electromechanical gyroscopes based on sample entropy empirical mode decomposition and timefrequency peak filtering. Sensors, 16 (6), 796.
  14. [14] Xing, H., Hou, B., Lin, Z., Guo, M. (2017). Modeling and compensation of random drift of MEMS gyroscopes based on least squares support vector machine optimized by chaotic particle swarm optimization. Sensors, 17 (10), 2335.10.3390/s17102335567729529027952
  15. [15] Shen, C., Song, R., Li, J., Zhang, X., Tang, J., Shi, Y., Liu, J., Cao, H. (2016). Temperature drift modeling of MEMS gyroscope based on genetic-Elman neural network. Mechanical Systems and Signal Processing, 72-73, 897-905.
  16. [16] Cao, H., Zhang, Y., Shen, C., Liu, Y., Wang, X. (2018). Temperature energy influence compensation for MEMS vibration gyroscope based on RBF NN-GA-KF method. Shock and Vibration, 2018, 2830686.10.1155/2018/2830686
  17. [17] Shen, C., Yang, J., Tang, J., Liu, J., Cao, H. (2018). Note: Parallel processing algorithm of temperature and noise error for micro-electro-mechanical system gyroscope based on variational mode decomposition and augmented nonlinear differentiator. Review of Scientific Instruments, 89, 076107.10.1063/1.503705230068126
  18. [18] Xu, Q., Li, X., Chan, C.Y. (2017). A cost-effective vehicle localization solution using an interacting multiple model−unscented Kalman filters (IMM-UKF) algorithm and grey neural network. Sensors, 17, 1431.10.3390/s17061431549203828629165
  19. [19] Kownacki, C. (2011). Optimization approach to adapt Kalman filters for the real-time application of accelerometer and gyroscope signals’ filtering. Digital Signal Processing, 21, 131-140.10.1016/j.dsp.2010.09.001
  20. [20] Sonmezoglu, S., Alper, S.E., Akin, T. (2014). An automatically mode-matched MEMS gyroscope with wide and tunable bandwidth. Journal of Microelectromechanical Systems, 23 (2), 284-297.10.1109/JMEMS.2014.2299234
  21. [21] Cao, H., Zhang, Z., Zheng, Y., Guo, H., Zhao, R., Shi, Y., Chou, X. (2021). A new joint denoising algorithm for High-G calibration of MEMS accelerometer based on VMD-PE-wavelet threshold. Shock and Vibration, 2021, 8855878.10.1155/2021/8855878
  22. [22] Cao, H., Zhang, Y., Han, Z., Shao, X., Gao, J., Huang, K., Shi, Y., Tang, J., Shen, C., Liu, J. (2019). Pole-zero temperature compensation method for sensing mode coupling dual-mass MEMS gyroscope bandwidth expansion. IEEE-ASME Transactions on Mechatronics, 24 (2), 677-688.10.1109/TMECH.2019.2898098
  23. [23] Cao, H., Li, H., Liu, J., Shi, Y., Tang, J., Shen, C. (2016). An improved interface and noise analysis of a turning fork microgyroscope structure. Mechanical Systems and Signal Processing, 70-71, 1209-1220.10.1016/j.ymssp.2015.08.002
  24. [24] Cao, H., Liu, Y., Zhang, Y., Shao, X., Gao. J., Huang, K., Shi, Y., Tang, J., Shen, C., Liu, J. (2019). Design and experiment of dual-mass MEMS gyroscope sense closed system based on bipole compensation method. IEEE Access, 7, 49111-49124.10.1109/ACCESS.2019.2909973
  25. [25] Dragomiretskiy, K., Zosso, D. (2014). Variational mode decomposition. IEEE Transactions on Signal Processing, 62 (3), 531-544.10.1109/TSP.2013.2288675
  26. [26] Upadhyay, A., Pachori, R.B. (2017). Speech enhancement based on mEMD-VMD method. Electronics Letters, 53 (7), 502-504.10.1049/el.2016.4439
Language: English
Page range: 19 - 24
Submitted on: Dec 29, 2020
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Accepted on: Feb 26, 2021
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Published on: Mar 30, 2021
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2021 Xiaolei Wang, Huiliang Cao, Yuzhao Jiao, Taishan Lou, Guoqiang Ding, Hongmei Zhao, Xiaomin Duan, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.