On-line realization of SVM kalman filter for MEMS gyro

Xuan Xiao; Bo Feng; Bo Wang

doi:10.1109/ICMTMA.2011.475

On-line realization of SVM kalman filter for MEMS gyro

Xuan Xiao^*, Bo Feng, Bo Wang

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

The on-line realization of kalman filter based on Support Vector Machine (SVM) is presented in this paper. The process of kalman filter based on SVM is that: the real-time gyro signals are classified into different groups by SVM; then different signals belonged to different groups are de-noised by different filters. Examples with actual experiment demonstrate that the method has apparent superiority for filtering gyro random noise. The simulation results indicate that the proposed method is valid and practical on filtering and denoising of MEMS gyro. This method can also be used to process the output signal of other kinds of gyroscope.

Original language	English
Title of host publication	Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011
Pages	768-770
Number of pages	3
DOIs	https://doi.org/10.1109/ICMTMA.2011.475
Publication status	Published - 2011
Event	3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 - Shanghai, China Duration: 6 Jan 2011 → 7 Jan 2011

Publication series

Name	Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011
Volume	2

Conference

Conference	3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011
Country/Territory	China
City	Shanghai
Period	6/01/11 → 7/01/11

Keywords

SVM kalman filter real-time on-line

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10.1109/ICMTMA.2011.475

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Xiao, X., Feng, B., & Wang, B. (2011). On-line realization of SVM kalman filter for MEMS gyro. In Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 (pp. 768-770). Article 5721293 (Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011; Vol. 2). https://doi.org/10.1109/ICMTMA.2011.475

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title = "On-line realization of SVM kalman filter for MEMS gyro",

abstract = "The on-line realization of kalman filter based on Support Vector Machine (SVM) is presented in this paper. The process of kalman filter based on SVM is that: the real-time gyro signals are classified into different groups by SVM; then different signals belonged to different groups are de-noised by different filters. Examples with actual experiment demonstrate that the method has apparent superiority for filtering gyro random noise. The simulation results indicate that the proposed method is valid and practical on filtering and denoising of MEMS gyro. This method can also be used to process the output signal of other kinds of gyroscope.",

keywords = "SVM kalman filter real-time on-line",

author = "Xuan Xiao and Bo Feng and Bo Wang",

year = "2011",

doi = "10.1109/ICMTMA.2011.475",

language = "English",

isbn = "9780769542966",

series = "Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011",

pages = "768--770",

booktitle = "Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011",

note = "3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 ; Conference date: 06-01-2011 Through 07-01-2011",

}

Xiao, X, Feng, B & Wang, B 2011, On-line realization of SVM kalman filter for MEMS gyro. in Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011., 5721293, Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011, vol. 2, pp. 768-770, 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011, Shanghai, China, 6/01/11. https://doi.org/10.1109/ICMTMA.2011.475

On-line realization of SVM kalman filter for MEMS gyro. / Xiao, Xuan; Feng, Bo; Wang, Bo.
Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011. 2011. p. 768-770 5721293 (Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - The on-line realization of kalman filter based on Support Vector Machine (SVM) is presented in this paper. The process of kalman filter based on SVM is that: the real-time gyro signals are classified into different groups by SVM; then different signals belonged to different groups are de-noised by different filters. Examples with actual experiment demonstrate that the method has apparent superiority for filtering gyro random noise. The simulation results indicate that the proposed method is valid and practical on filtering and denoising of MEMS gyro. This method can also be used to process the output signal of other kinds of gyroscope.

AB - The on-line realization of kalman filter based on Support Vector Machine (SVM) is presented in this paper. The process of kalman filter based on SVM is that: the real-time gyro signals are classified into different groups by SVM; then different signals belonged to different groups are de-noised by different filters. Examples with actual experiment demonstrate that the method has apparent superiority for filtering gyro random noise. The simulation results indicate that the proposed method is valid and practical on filtering and denoising of MEMS gyro. This method can also be used to process the output signal of other kinds of gyroscope.

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M3 - Conference contribution

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Y2 - 6 January 2011 through 7 January 2011

ER -

On-line realization of SVM kalman filter for MEMS gyro

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