Title :
Adaptive unscented Kalman filter in Inertial Navigation System alignment
Author :
Huang, Xianlin ; Wang, Zhenkai
Author_Institution :
Center for Control Theor. & Guidance Technol., Harbin Inst. of Technol., Harbin, China
Abstract :
An adaptive unscented Kalman filter is presented, in this algorithm, modified Sage-Husa noise statistics estimator is introduced to estimate the process noise variances adaptively. The nonlinear filter is applied in INS alignment with large azimuth error. Simulation results show that adaptive Unscented Kalman filter performance well in the special case.
Keywords :
Kalman filters; adaptive filters; nonlinear filters; statistical analysis; INS alignment; adaptive unscented Kalman filter; azimuth error; inertial navigation system alignment; modified Sage-Husa noise statistics estimator; noise variance; nonlinear filter; unscented Kalman filter performance; Adaptation models; Azimuth; Computational modeling; Estimation; Kalman filters; Noise; Simulation;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
DOI :
10.1109/ICICIP.2011.6008402
