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

^*此作品的通讯作者

自动化学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II
编辑	Yingmin Jia, Weicun Zhang, Yongling Fu
出版商	Springer Science and Business Media Deutschland GmbH
页	193-202
页数	10
ISBN（印刷版）	9789811584572
DOI	https://doi.org/10.1007/978-981-15-8458-9_21
出版状态	已出版 - 2021
活动	Chinese Intelligent Systems Conference, CISC 2020 - Shenzhen, 中国期限: 24 10月 2020 → 25 10月 2020

出版系列

姓名	Lecture Notes in Electrical Engineering
卷	706 LNEE
ISSN（印刷版）	1876-1100
ISSN（电子版）	1876-1119

会议

会议	Chinese Intelligent Systems Conference, CISC 2020
国家/地区	中国
市	Shenzhen
时期	24/10/20 → 25/10/20

访问文件

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

其它文件与链接

链接到 Scopus 的出版物

引用此

Yan, Z., Chai, S., Yang, L., Zhang, B., & Cui, L. (2021). MEMS Gyroscope Noise Analysis and Calibration Using Allan Variance and Improved Hann Filter. 在 Y. Jia, W. Zhang, & Y. Fu (编辑), Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II (页码 193-202). (Lecture Notes in Electrical Engineering; 卷 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 等. / MEMS Gyroscope Noise Analysis and Calibration Using Allan Variance and Improved Hann Filter. Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II. 编辑 / Yingmin Jia ; Weicun Zhang ; Yongling Fu. Springer Science and Business Media Deutschland GmbH, 2021. 页码 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. 在 Y Jia, W Zhang & Y Fu (编辑), Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II. Lecture Notes in Electrical Engineering, 卷 706 LNEE, Springer Science and Business Media Deutschland GmbH, 页码 193-202, Chinese Intelligent Systems Conference, CISC 2020, Shenzhen, 中国, 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 等.
Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II. 编辑 / Yingmin Jia; Weicun Zhang; Yongling Fu. Springer Science and Business Media Deutschland GmbH, 2021. 页码 193-202 (Lecture Notes in Electrical Engineering; 卷 706 LNEE).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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

UR - http://www.scopus.com/inward/record.url?scp=85092719970&partnerID=8YFLogxK

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. 在 Jia Y, Zhang W, Fu Y, 编辑, Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II. Springer Science and Business Media Deutschland GmbH. 2021. 页码 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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