Title :
Prediction of inertial navigation system error dynamics in INS/GPS system
Author :
Filyashkin, N.K. ; Yatskivsky, V.S.
Author_Institution :
Aviation Comput.-Integrated Complexes Dept., Nat. Aviation Univ., Kiev, Ukraine
Abstract :
This paper discusses methods of improving precision characteristics of an inertial navigation system in integrated Inertial Navigation System / Global Positioning System by prediction of evolution of inertial navigation system errors. The results of mathematical modeling, which confirm the feasibility of this approach for improving accuracy of inertial navigation system in offline mode, are given.
Keywords :
Global Positioning System; inertial navigation; Global Positioning System; INS-GPS system; error dynamics; integrated inertial navigation system; Global Positioning System; Inertial navigation; Integrated circuit modeling; Kalman filters; Mathematical model; Silicon compounds; Inertial Navigation System / Global Positioning System; error dynamics; error models; identification; system integration;
Conference_Titel :
Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD), 2013 IEEE 2nd International Conference
Conference_Location :
Kiev
Print_ISBN :
978-1-4799-3305-1
DOI :
10.1109/APUAVD.2013.6705327
