Abstract
This paper proposes a land vehicle navigation algorithm based on the Global Positioning System (GPS) and the dead reckoning (DR).To achieve high location and velocity accuracy, second order extended Kalman filter (SEKF) is introduced for GPS/DR integrated navigation system. And the algorithm of the first extended Kalman filter (FEKF) and the second EKF (SEKF) are given. Further, the state models and measurement models of GPS/DR are set up. For comparision purpose, the algorithm performance of FEKF and SEKF is contrasted. Numerical results demonstrate that the proposed SEKF algorithm gives much higher navigation accuracy than FEKF algorithm for land vehicle navigation. The algorithm has obvious advantages of high accuracy.
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.
