@inproceedings{a7ebc3f64f0b483dbec9ffcbebbd1379,
title = "A novel adaptive integrated navigation filtering method based on ARMA/GARCH model",
abstract = "This paper proposes a novel adaptive integrated navigation filtering method based on autoregressive moving average (ARMA) model and generalized autoregressive conditional heteroscedasticity (GARCH) model. The main idea in this study is to employ ARMA/GARCH model to estimate statistical characteristics of filtering residual series online, namely, the conditional mean and conditional standard deviation, and then the filter parameters are adaptively adjusted based on forecasted results of ARMA/GARCH model in order to improve the reliability of the system when there are abnormal disturbance and other uncertain factors in real condition. On this basis, experiment is used to verify the validity of the method. The simulation results demonstrate that the ARMA/GARCH model can well capture the unusual condition of GPS receiver output, and this adaptive filtering method can effectively improve the reliability of the system.",
keywords = "ARMA/GARCH, Adaptive filtering, Navigation, SINS/GPS",
author = "Xin Zhao and Qin, \{Hong Lei\} and Li Cong",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.462-463.259",
language = "英语",
isbn = "9783037859414",
series = "Applied Mechanics and Materials",
pages = "259--266",
booktitle = "Progress in Mechatronics and Information Technology",
note = "2013 International Conference on Mechatronics and Information Technology, ICMIT 2013 ; Conference date: 19-10-2013 Through 20-10-2013",
}