Title :
Combined complementary filter For inertial navigation system
Author :
Filiashkin, M. ; Novik, M.
Author_Institution :
Nat. Aviation Univ., Kiev, Ukraine
Abstract :
This paper presents analysis of the complementary algorithm for inertial navigation systems. Suboptimal algorithm for sensors data fusion of the navigation system is proposed. This method employs combined complementary filter approach and attitude error equation of the inertial navigation system. Simulation results are presented to demonstrate the performance of the proposed approach.
Keywords :
Kalman filters; inertial navigation; nonlinear filters; sensor fusion; attitude error equation; complementary filter approach; inertial navigation system; sensor data fusion; Filtering; Global Positioning System; Inertial navigation; Noise; Tin; complementary filter; data fusion; inertial navigation system;
Conference_Titel :
Methods and Systems of Navigation and Motion Control (MSNMC), 2012 2nd International Conference
Conference_Location :
Kiev
Print_ISBN :
978-1-4673-2551-6
DOI :
10.1109/MSNMC.2012.6475087