MEMS Gyroscope Noise Analysis and Calibration Using Allan Variance and Improved Hann Filter

Zhanyi Yan; Senchun Chai; Liu Yang; Baihai Zhang; Lingguo Cui

doi:10.1007/978-981-15-8458-9_21

MEMS Gyroscope Noise Analysis and Calibration Using Allan Variance and Improved Hann Filter

Zhanyi Yan, Senchun Chai^*, Liu Yang, Baihai Zhang, Lingguo Cui

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

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

2 Citations (Scopus)

Abstract

MEMS gyroscope, as a component of low-cost ins devices, has been widely used in unmanned platforms and intelligent terminals. However, it suffers from interference from deterministic and random errors. In order to solve this problem, a noise analysis and calibration method of MEMS gyroscope based on Allan variance and improved Hann filter is proposed in this paper, and the effectiveness of the method is verified by experiments. The results show that the output is closer to the true value by improved method. After applying this method to the accelerometer as well, the absolute errors of the calculated pitch and roll angles decreased by 0.6825^∘ and 0.3861^∘, respectively.

Original language	English
Title of host publication	Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II
Editors	Yingmin Jia, Weicun Zhang, Yongling Fu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	193-202
Number of pages	10
ISBN (Print)	9789811584572
DOIs	https://doi.org/10.1007/978-981-15-8458-9_21
Publication status	Published - 2021
Event	Chinese Intelligent Systems Conference, CISC 2020 - Shenzhen, China Duration: 24 Oct 2020 → 25 Oct 2020

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	706 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	Chinese Intelligent Systems Conference, CISC 2020
Country/Territory	China
City	Shenzhen
Period	24/10/20 → 25/10/20

Keywords

Allan variance
Calibration
Improved Hann filter
MEMS gyroscope
Noise analysis

Access to Document

10.1007/978-981-15-8458-9_21

Cite this

Yan, Z., Chai, S., Yang, L., Zhang, B., & Cui, L. (2021). MEMS Gyroscope Noise Analysis and Calibration Using Allan Variance and Improved Hann Filter. In Y. Jia, W. Zhang, & Y. Fu (Eds.), Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II (pp. 193-202). (Lecture Notes in Electrical Engineering; Vol. 706 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-8458-9_21

Yan, Zhanyi ; Chai, Senchun ; Yang, Liu et al. / MEMS Gyroscope Noise Analysis and Calibration Using Allan Variance and Improved Hann Filter. Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II. editor / Yingmin Jia ; Weicun Zhang ; Yongling Fu. Springer Science and Business Media Deutschland GmbH, 2021. pp. 193-202 (Lecture Notes in Electrical Engineering).

@inproceedings{01c629f7f4a84f65b0d2e47212274f1c,

title = "MEMS Gyroscope Noise Analysis and Calibration Using Allan Variance and Improved Hann Filter",

abstract = "MEMS gyroscope, as a component of low-cost ins devices, has been widely used in unmanned platforms and intelligent terminals. However, it suffers from interference from deterministic and random errors. In order to solve this problem, a noise analysis and calibration method of MEMS gyroscope based on Allan variance and improved Hann filter is proposed in this paper, and the effectiveness of the method is verified by experiments. The results show that the output is closer to the true value by improved method. After applying this method to the accelerometer as well, the absolute errors of the calculated pitch and roll angles decreased by 0.6825∘ and 0.3861∘, respectively.",

keywords = "Allan variance, Calibration, Improved Hann filter, MEMS gyroscope, Noise analysis",

author = "Zhanyi Yan and Senchun Chai and Liu Yang and Baihai Zhang and Lingguo Cui",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; Chinese Intelligent Systems Conference, CISC 2020 ; Conference date: 24-10-2020 Through 25-10-2020",

year = "2021",

doi = "10.1007/978-981-15-8458-9_21",

language = "English",

isbn = "9789811584572",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "193--202",

editor = "Yingmin Jia and Weicun Zhang and Yongling Fu",

booktitle = "Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II",

address = "Germany",

}

Yan, Z, Chai, S, Yang, L, Zhang, B & Cui, L 2021, MEMS Gyroscope Noise Analysis and Calibration Using Allan Variance and Improved Hann Filter. in Y Jia, W Zhang & Y Fu (eds), Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II. Lecture Notes in Electrical Engineering, vol. 706 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 193-202, Chinese Intelligent Systems Conference, CISC 2020, Shenzhen, China, 24/10/20. https://doi.org/10.1007/978-981-15-8458-9_21

MEMS Gyroscope Noise Analysis and Calibration Using Allan Variance and Improved Hann Filter. / Yan, Zhanyi; Chai, Senchun; Yang, Liu et al.
Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II. ed. / Yingmin Jia; Weicun Zhang; Yongling Fu. Springer Science and Business Media Deutschland GmbH, 2021. p. 193-202 (Lecture Notes in Electrical Engineering; Vol. 706 LNEE).

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

TY - GEN

T1 - MEMS Gyroscope Noise Analysis and Calibration Using Allan Variance and Improved Hann Filter

AU - Yan, Zhanyi

AU - Chai, Senchun

AU - Yang, Liu

AU - Zhang, Baihai

AU - Cui, Lingguo

PY - 2021

Y1 - 2021

N2 - MEMS gyroscope, as a component of low-cost ins devices, has been widely used in unmanned platforms and intelligent terminals. However, it suffers from interference from deterministic and random errors. In order to solve this problem, a noise analysis and calibration method of MEMS gyroscope based on Allan variance and improved Hann filter is proposed in this paper, and the effectiveness of the method is verified by experiments. The results show that the output is closer to the true value by improved method. After applying this method to the accelerometer as well, the absolute errors of the calculated pitch and roll angles decreased by 0.6825∘ and 0.3861∘, respectively.

AB - MEMS gyroscope, as a component of low-cost ins devices, has been widely used in unmanned platforms and intelligent terminals. However, it suffers from interference from deterministic and random errors. In order to solve this problem, a noise analysis and calibration method of MEMS gyroscope based on Allan variance and improved Hann filter is proposed in this paper, and the effectiveness of the method is verified by experiments. The results show that the output is closer to the true value by improved method. After applying this method to the accelerometer as well, the absolute errors of the calculated pitch and roll angles decreased by 0.6825∘ and 0.3861∘, respectively.

KW - Allan variance

KW - Calibration

KW - Improved Hann filter

KW - MEMS gyroscope

KW - Noise analysis

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U2 - 10.1007/978-981-15-8458-9_21

DO - 10.1007/978-981-15-8458-9_21

M3 - Conference contribution

AN - SCOPUS:85092719970

SN - 9789811584572

T3 - Lecture Notes in Electrical Engineering

SP - 193

EP - 202

BT - Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II

A2 - Jia, Yingmin

A2 - Zhang, Weicun

A2 - Fu, Yongling

PB - Springer Science and Business Media Deutschland GmbH

T2 - Chinese Intelligent Systems Conference, CISC 2020

Y2 - 24 October 2020 through 25 October 2020

ER -

Yan Z, Chai S, Yang L, Zhang B, Cui L. MEMS Gyroscope Noise Analysis and Calibration Using Allan Variance and Improved Hann Filter. In Jia Y, Zhang W, Fu Y, editors, Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II. Springer Science and Business Media Deutschland GmbH. 2021. p. 193-202. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-15-8458-9_21

MEMS Gyroscope Noise Analysis and Calibration Using Allan Variance and Improved Hann Filter

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