@inproceedings{c67be9d4667e4ee386e9b876f8f2a3a5,
title = "Research on the compensation in MEMS gyroscope random drift based on time-series analysis and Kalman filtering",
abstract = "From a practical point of view, the paper introduces an effective compensation method for MEMS gyroscope random drift. First, the MEMS data will be collected and pretreated by using time-series analysis so as to get the random drift signals. Then the ARMA model will be established and the signals will be filtered by Kalman filtering. The compensation results by Kalman filtering shows that the proposed method can effectively reduce random drift not only on the conditions but also at constant rates.",
keywords = "Kalman filtering, MEMS gyroscope, random drift, time series models",
author = "Yong Shangguan and Jiabin Chen and Chunlei Song and Yongqiang Han",
note = "Publisher Copyright: {\textcopyright} 2015 Technical Committee on Control Theory, Chinese Association of Automation.; 34th Chinese Control Conference, CCC 2015 ; Conference date: 28-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "11",
doi = "10.1109/ChiCC.2015.7259955",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "2078--2082",
editor = "Qianchuan Zhao and Shirong Liu",
booktitle = "Proceedings of the 34th Chinese Control Conference, CCC 2015",
address = "United States",
}