Investigation of the Kalman Filter in Problems of Increasing the Accuracy of Measurements Using MEMS (9 axis) Motion Sensors

被引：0

作者：

Semenov, Viktor P. ^{[1
]}

Chernokulsky, Vladimir V. ^{[2
]}

Razmochaeva, Natalya V. ^{[2
]}

Svertoka, Yekaterina S. ^{[3
]}

机构：

[1] St Petersburg Electrotech Univ LETI, Fac Econ & Management, St Petersburg, Russia

[2] St Petersburg Electrotech Univ LETI, Fac Comp Sci & Technol, St Petersburg, Russia

[3] St Petersburg Electrotech Univ LETI, Fac Radio Engn, St Petersburg, Russia

来源：

PROCEEDINGS OF THE 2018 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS) | 2018年

关键词：

investigation; Kalman filter; increasing the accuracy; motion sensors; MEMS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The main task of this article is to synthesize an adaptive filter for use in the motion analysis system. The use of the synthesized Kalman filter is aimed at adapting the noisy data of the MEMS sensor to the data obtained as a result of calculations of the movement of a well-known character. Adaptation of the sensor displays allows to increase the accuracy of measurements of motion parameters without using an excessive set of measuring devices.

引用

页码：1150 / 1153

页数：4

共 28 条

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