Title :
Sigma point H-infinity filter for initial alignment in marine strapdown inertial navigation system
Author :
Wang, Jun-hou ; Song, Chun-lei ; Yao, Xing-tai ; Chen, Jia-bin
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
Abstract :
Based on theories of H-infinity filter and sigma point transformation, a sigma point H-infinity filter method is proposed. The error model of marine strapdown inertial navigation system on the swaying base is nonlinear, whereas the azimuth angle is large. Because during the deduct of the error model higher order terms are neglected, and the practical noises are non-Gaussian, the sigma point H-infinity filter is more robustness and also improves the accuracy, compared with the unscented Kalman filter. In order to obtain a better result, a sigma point smoother is proposed. The simulation results show that the sigma point H-infinity filter is a very effective estimation method with colored noise.
Keywords :
Kalman filters; inertial navigation; marine systems; radionavigation; smoothing methods; azimuth angle; colored noise; error model; initial alignment; marine strapdown inertial navigation system; sigma point H-infinity filter; sigma point smoother; sigma point transformation; unscented Kalman filter; Colored noise; Filtering theory; H infinity control; Manganese; Navigation; Silicon compounds; H-infinity filter; initial alignment; sigma point smoother; sigma point transformation; unscented Kalman filter;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555563