Unscented Kalman filter for SINS alignment

Autor: Zhou Zhanxin, Chen Liabin, Gao Yanan
Rok vydání: 2007
Předmět:
Zdroj: Journal of Systems Engineering and Electronics. 18:327-333
ISSN: 1004-4132
Popis: In order to improve the filter accuracy for the nonlinear error model of strapdown inertial navigation system (SINS) alignment, Unscented Kalman Filter (UKF) is presented for simulation with stationary base and moving base of SINS alignment. Simulation results show the superior performance of this approach when compared with classical suboptimal techniques such as extended Kalman filter in cases of large initial misalignment. The UKF has good performance in case of small initial misalignment.
Databáze: OpenAIRE