Title :
Research of an adapted filtering algorithm using Doppler shift
Author :
Guangwen Xi ; Yu Liu
Author_Institution :
Network Center, Chongqing Three Gorges Univ., Chongqing, China
Abstract :
In GPS navigation and location system, aiming at the effect of the dynamic model of receiver on GPS position accuracy, a GPS adapted filtering algorithm based on Doppler shift observation is proposed. An adaptive filter algorithm use GPS pseudo-range measurement and pseudo-range ratio measurement which signal carrier wave Doppler Shift received for filtering high dynamic GPS, pseudo-range and pseudo-range rate will also be observed in dynamic filtering process of this algorithm. By means of the filter equations built by kinetic vector model of mobile object and GPS location error model, Kalman filtering process using this model is primarily discussed°. Simulation experiments show that compared with the traditional compared minimum-variance adaptive model, this model can improve location accuracy and ameliorate dynamic performance of the receiver.
Keywords :
Doppler shift; Global Positioning System; adaptive Kalman filters; vectors; Doppler shift observation; GPS adapted filtering algorithm; GPS location error model; GPS navigation; GPS position accuracy; GPS pseudo-range measurement; Kalman filtering process; ameliorate dynamic performance; dynamic filtering process; dynamic model; filter equations; kinetic vector model; location accuracy; location system; minimum-variance adaptive model; mobile object; pseudo-range ratio measurement; signal carrier wave Doppler shift; Accuracy; Adaptation models; Adaptive filters; Equations; Filtering; Global Positioning System; Mathematical model; Doppler Shift; GPS; Kalman flittering; Location accuracy;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030228