@inproceedings{f0c937b5832d461499ab342fa80ed399,
title = "Research of unscented Kalman filter application in polarization/MEMS integrated navigation system",
abstract = "MEMS-IMU usually needs to be integrated with other navigation methods because its output error accumulates over time. Integrating polarization navigation sensor with MEMS-IMU in a system is an effective method to improve the navigation performance. Because the yaw angle of polarization sensor is not divergent, the data can be used to adjust output of MEMS-IMU. Car experiments have been done to examine the viewpoint. In addition, this paper proposes that UKF can also enhance the performance of the system. The result shows that drift generated by MEMS-IMU can be restrained with assist of polarization sensor. The navigation information reckoned is close to the real through the compensation of UKF.",
keywords = "Integrated Navigation System, MEMS-IMU, Polarization, UKF",
author = "Huiya Liu and Leilei Li and Jiabin Chen and Tuo Shi and Xin He",
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.2015.7260471",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "5326--5330",
editor = "Qianchuan Zhao and Shirong Liu",
booktitle = "Proceedings of the 34th Chinese Control Conference, CCC 2015",
address = "United States",
}