Title :
MEMS INS/GPS integration using Kalman Filters
Author_Institution :
Coll. of Technol., Vietnam Nat. Univ., Hanoi
Abstract :
Summary form only given. In this paper, the special estimation schemes for INS/GPS integration is addressed and implemented on real-time PC-box hardware. The Strapdown INS (SINS) using 2 Kalman Filters (KF) has been built so that the system can operate flexibly between feedforward and feedback modes in case of GPS outage. The experiment results shown that this INS/GPS system can be used for practical applications.
Keywords :
Global Positioning System; Kalman filters; feedback; feedforward; inertial navigation; micromechanical devices; Global Positioning System; Kalman filter; MEMS INS-GPS integration; feedback mode; feedforward mode; inertial navigation system; microelectromechanical system; real-time PC-box hardware; strapdown INS; Broadband antennas; Communications technology; Educational institutions; Field programmable gate arrays; Global Positioning System; MIMO; Micromechanical devices; Microstrip antennas; Mobile antennas; Radiofrequency identification;
Conference_Titel :
Advanced Technologies for Communications, 2008. ATC 2008. International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2680-5
Electronic_ISBN :
978-1-4244-2681-2
DOI :
10.1109/ATC.2008.4760625
