@inproceedings{89d777a41a62401ba782847b1060715c,
title = "Research on MIMU Online Calibration Method Based on Multi-information Source",
abstract = "An online filtering calibration scheme was designed. According to the MIMU error model, the error parameters to be calibrated were incorporated into the system state vector to construct the filtering estimation state equation. On the basis of Kalman filter, a calibration observation scheme based on GPS and altimeter is designed. Aiming at the dynamic characteristics of error parameters to be calibrated, a stepwise estimation method is designed to reduce the computation time. Simulation results show that the design is reasonable.",
keywords = "Kalman Filter, Multi-information Fusion, Online Calibration, SINS, Stepwise Estimation",
author = "Junliang Yan and Xiaojing Du and Huaijian Li",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Unmanned Systems, ICUS 2019 ; Conference date: 17-10-2019 Through 19-10-2019",
year = "2019",
month = oct,
doi = "10.1109/ICUS48101.2019.8996022",
language = "English",
series = "Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "699--703",
booktitle = "Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019",
address = "United States",
}