Inertial MEMS Sensors Accuracy Improvement by Interval Fusion with Preference Aggregation

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции


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.

Язык оригиналаАнглийский
Название основной публикацииIEEE Sensors, SENSORS 2020 - Conference Proceedings
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781728168012
СостояниеОпубликовано - 25 окт 2020
Событие2020 IEEE Sensors, SENSORS 2020 - Virtual, Rotterdam, Нидерланды
Продолжительность: 25 окт 202028 окт 2020

Серия публикаций

НазваниеProceedings of IEEE Sensors
ISSN (печатное издание)1930-0395
ISSN (электронное издание)2168-9229


Конференция2020 IEEE Sensors, SENSORS 2020
ГородVirtual, Rotterdam

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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