@inproceedings{d4d769747e0649d38909d6f3674ff161,
title = "A north finder scheme for FOG SINS based on Kalman filtering",
abstract = "In the background of using SINS technology to the car north finder, how to use FOG SINS in-vehicle vibration environment to obtain accurate initial attitude information is analyzed. Based on two-point north finder algorithm, north finder algorithm and kalman filtering algorithm are combined, and the north finder scheme for FOG SINS based on kalman filtering is studied. Simulation results show that, the scheme can accelerate the estimation of gyro bias and accelerometer bias, and effectively filter out short-term disturbances. This scheme can obtain accurate high-precision attitude information in the disturbance environment.",
keywords = "FOG SINS, In-vehicle disturbance, Kalman filtering, North finder",
author = "Zheng, \{Wei Zhen\} and Yang, \{Gong Liu\} and Kui Zhang and Ma, \{Ren Dong\}",
note = "Publisher Copyright: {\textcopyright} (2014) Trans Tech Publications, Switzerland.; International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014 ; Conference date: 22-06-2014 Through 23-06-2014",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.644-650.4040",
language = "英语",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications Ltd",
pages = "4040--4043",
editor = "Zhongmin Wang and Liangyu Guo and Jianming Tan and Dongfang Yang and Dongfang Yang and Kun Yang and Dongfang Yang and Dongfang Yang and Dongfang Yang",
booktitle = "Machine Tool Technology, Mechatronics and Information Engineering",
address = "瑞士",
}