Abstract
This paper presents the static base alignment of Strapdown Inertial Navigation System (SINS) employing simplified unscented Kalman filter (UKF) on nonlinear error model. Simplified UKF for nonlinear process and linear measurement models with complex additive noise is addressed and the error model for static alignment is derived with small tilt and large azimuth misalignments. Simulations are performed using simulated signals from inertial sensors. Simulation results show the superiority of algorithm in terms of convergence rate and alignment precision for small tilt and large azimuth misalignment angles.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
