Inertial MEMS Sensors Accuracy Improvement by Interval Fusion with Preference Aggregation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationIEEE Sensors, SENSORS 2020 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728168012
DOIs
Publication statusPublished - 25 Oct 2020
Event2020 IEEE Sensors, SENSORS 2020 - Virtual, Rotterdam, Netherlands
Duration: 25 Oct 202028 Oct 2020

Publication series

NameProceedings of IEEE Sensors
Volume2020-October
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Conference

Conference2020 IEEE Sensors, SENSORS 2020
CountryNetherlands
CityVirtual, Rotterdam
Period25.10.2028.10.20

Keywords

  • gyroscope
  • interval data
  • MEMS
  • preference aggregation
  • sensor data processing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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