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


Zitieren

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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. Search in Google Scholar

[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 Search in Google Scholar

[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. Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[25] Dragomiretskiy, K., Zosso, D. (2014). Variational mode decomposition. IEEE Transactions on Signal Processing, 62 (3), 531-544.10.1109/TSP.2013.2288675 Search in Google Scholar

[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 Search in Google Scholar

eISSN:
1335-8871
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
6 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Technik, Elektrotechnik, Mess-, Steuer- und Regelungstechnik