TY - GEN
T1 - GBAS heavy-tail error overbounding with GARCH model
AU - Fang, Kun
AU - Xue, Rui
AU - Zhu, Yanbo
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/16
Y1 - 2016/8/16
N2 - To reduce the inflation for statistical uncertainty and describe the real error distribution objectively, generalized autoregressive conditional heteroskedasticity (GARCH) model is utilized in this paper to model and overbound ground based augmentation system (GBAS) heavy-tail errors. Based on the GARCH model, heavy-tail errors are normalized to the standard Gaussian distribution, and error samples from all elevations are mixed together to calculate overbound without being grouped. By this means, compared with classic error distribution models, the heavy-tail errors are overbounded more tightly, and the calculated inflation factors, error confidence limits in pseudorange domain and protection levels in position domain are reduced correspondingly.
AB - To reduce the inflation for statistical uncertainty and describe the real error distribution objectively, generalized autoregressive conditional heteroskedasticity (GARCH) model is utilized in this paper to model and overbound ground based augmentation system (GBAS) heavy-tail errors. Based on the GARCH model, heavy-tail errors are normalized to the standard Gaussian distribution, and error samples from all elevations are mixed together to calculate overbound without being grouped. By this means, compared with classic error distribution models, the heavy-tail errors are overbounded more tightly, and the calculated inflation factors, error confidence limits in pseudorange domain and protection levels in position domain are reduced correspondingly.
KW - error overbound
KW - generalized autoregressive conditional heteroskedasticity (GARCH) model
KW - ground based augmentation system (GBAS)
KW - inflation factor
KW - protection level
UR - https://www.scopus.com/pages/publications/84987623605
U2 - 10.1109/CITS.2016.7546440
DO - 10.1109/CITS.2016.7546440
M3 - 会议稿件
AN - SCOPUS:84987623605
T3 - IEEE CITS 2016 - 2016 International Conference on Computer, Information and Telecommunication Systems
BT - IEEE CITS 2016 - 2016 International Conference on Computer, Information and Telecommunication Systems
A2 - Gao, Fei
A2 - Li, Zan
A2 - Caballero, Daniel Cascado
A2 - Fan, Jing
A2 - Obaidat, Mohammad S.
A2 - Nicoploitidis, Petros
A2 - Hsiao, Kuei Fang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Conference on Computer, Information and Telecommunication Systems, CITS 2016
Y2 - 6 July 2016 through 8 July 2016
ER -