Inertial MEMS Sensors Accuracy Improvement by Interval Fusion with Preference Aggregation

Abstract

To increase the accuracy of measurements in navigation systems, data from several MEMS sensors of the same type are traditionally processed to obtain the single value with minimal possible uncertainty. In this paper, it is proposed a method for precise processing of output data from inertial micro sensors based on the interval fusion with preference aggregation (IFPA). The measurement data acquired from MEMS gyroscopes were processed by the IFPA method. The results have shown that the proposed method allows to obtain the resulting estimate of the value with significantly lower uncertainty in comparison with traditional method. Thus, the IFPA provides an opportunity to reduce the equipment cost without sacrificing the quality of measurement results.

Original language	English
Title of host publication	IEEE Sensors, SENSORS 2020 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728168012
DOIs	https://doi.org/10.1109/SENSORS47125.2020.9278598
Publication status	Published - 25 Oct 2020
Event	2020 IEEE Sensors, SENSORS 2020 - Virtual, Rotterdam, Netherlands Duration: 25 Oct 2020 → 28 Oct 2020

Publication series

Name	Proceedings of IEEE Sensors
Volume	2020-October
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Conference

Conference	2020 IEEE Sensors, SENSORS 2020
Country	Netherlands
City	Virtual, Rotterdam
Period	25.10.20 → 28.10.20

Keywords

gyroscope
interval data
MEMS
preference aggregation
sensor data processing

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/SENSORS47125.2020.9278598

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Muravyov, S., Baranov, P., Khudonogova, L., & Ho, M. D. (2020). Inertial MEMS Sensors Accuracy Improvement by Interval Fusion with Preference Aggregation. In IEEE Sensors, SENSORS 2020 - Conference Proceedings [9278598] (Proceedings of IEEE Sensors; Vol. 2020-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SENSORS47125.2020.9278598

Inertial MEMS Sensors Accuracy Improvement by Interval Fusion with Preference Aggregation. / Muravyov, Sergey ; Baranov, Pavel ; Khudonogova, Liudmila; Ho, Minh Dai.

IEEE Sensors, SENSORS 2020 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9278598 (Proceedings of IEEE Sensors; Vol. 2020-October).

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

Muravyov, S , Baranov, P , Khudonogova, L & Ho, MD 2020, Inertial MEMS Sensors Accuracy Improvement by Interval Fusion with Preference Aggregation. in IEEE Sensors, SENSORS 2020 - Conference Proceedings., 9278598, Proceedings of IEEE Sensors, vol. 2020-October, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Sensors, SENSORS 2020, Virtual, Rotterdam, Netherlands, 25.10.20. https://doi.org/10.1109/SENSORS47125.2020.9278598

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abstract = "To increase the accuracy of measurements in navigation systems, data from several MEMS sensors of the same type are traditionally processed to obtain the single value with minimal possible uncertainty. In this paper, it is proposed a method for precise processing of output data from inertial micro sensors based on the interval fusion with preference aggregation (IFPA). The measurement data acquired from MEMS gyroscopes were processed by the IFPA method. The results have shown that the proposed method allows to obtain the resulting estimate of the value with significantly lower uncertainty in comparison with traditional method. Thus, the IFPA provides an opportunity to reduce the equipment cost without sacrificing the quality of measurement results. ",

keywords = "gyroscope, interval data, MEMS, preference aggregation, sensor data processing",

author = "Sergey Muravyov and Pavel Baranov and Liudmila Khudonogova and Ho, {Minh Dai}",

note = "Funding Information: ACKNOWLEDGMENT This work was supported by the Russian Science Foundation, project # 18-19-00203. Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 IEEE Sensors, SENSORS 2020 ; Conference date: 25-10-2020 Through 28-10-2020",

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N1 - Funding Information: ACKNOWLEDGMENT This work was supported by the Russian Science Foundation, project # 18-19-00203. Publisher Copyright: © 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

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N2 - To increase the accuracy of measurements in navigation systems, data from several MEMS sensors of the same type are traditionally processed to obtain the single value with minimal possible uncertainty. In this paper, it is proposed a method for precise processing of output data from inertial micro sensors based on the interval fusion with preference aggregation (IFPA). The measurement data acquired from MEMS gyroscopes were processed by the IFPA method. The results have shown that the proposed method allows to obtain the resulting estimate of the value with significantly lower uncertainty in comparison with traditional method. Thus, the IFPA provides an opportunity to reduce the equipment cost without sacrificing the quality of measurement results.

AB - To increase the accuracy of measurements in navigation systems, data from several MEMS sensors of the same type are traditionally processed to obtain the single value with minimal possible uncertainty. In this paper, it is proposed a method for precise processing of output data from inertial micro sensors based on the interval fusion with preference aggregation (IFPA). The measurement data acquired from MEMS gyroscopes were processed by the IFPA method. The results have shown that the proposed method allows to obtain the resulting estimate of the value with significantly lower uncertainty in comparison with traditional method. Thus, the IFPA provides an opportunity to reduce the equipment cost without sacrificing the quality of measurement results.

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