Inertial MEMS Sensors Accuracy Improvement by Interval Fusion with Preference Aggregation; SENSORS 2020

Inertial MEMS Sensors Accuracy Improvement by Interval Fusion with Preference Aggregation; SENSORS 2020

Detalles Bibliográficos
Parent link:SENSORS 2020.— 2020.— [4 p.]
Autor Corporativo: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение автоматизации и робототехники
Otros Autores: Muravyov (Murav’ev) S. V. Sergey Vasilyevich, Baranov P. F. Pavel Fedorovich, Khudonogova L. I. Ludmila Igorevna, Ho Minh Dai
Sumario:Title screen
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 (IF&PA). The measurement data acquired from MEMS gyroscopes were processed by the IF&PA 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 IF&PA provides an opportunity to reduce the equipment cost without sacrificing the quality of measurement results.
Lenguaje:inglés
Publicado: 2020
Materias:
электронный ресурс
труды учёных ТПУ
sensor data processing
MEMS
gyroscope
preference aggregation
interval data
обработка данных
датчики
гироскопы
агрегирование предпочтений
Acceso en línea:https://doi.org/10.1109/SENSORS47125.2020.9278598
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665070

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