Open AccessPrediction of SINS/GPS Navigation Information by ELM Algorithm during GPS outages
Author(s) -
Yang Cao,
Fangxiu Jia,
Xun Jiang,
Qing Zhang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/612/3/032002
Subject(s) - global positioning system , computer science , algorithm , gps signals , set (abstract data type) , real time computing , missile , assisted gps , engineering , telecommunications , aerospace engineering , programming language
SINS/GPS integrated navigation has received great attention recently due to its impressive navigation accuracy on missile-borne platforms. However, it remains an ongoing challenge to address the problem of GPS signal loss. Furthermore, the limited space and power consumption of a projectile have made it challenging to carry out time-consuming iterative calculations. In this paper, ELM is proposed for the first time to predict the navigation information on the missile-borne platform for its simpler neural network structure and no iterative calculation. Comparing it with the algorithms of BP and GABP, the simulation results reveal that the ELM algorithm is more time-saving with higher prediction accuracy than the others. More importantly, the number of parameters needed to be set is much less than those of the other two algorithms, which is beneficial for its practical application.