Title :
Filtering Strategy Research Based on BDS/DR Navigation System
Author :
Jun Chen ; Xiao-Fei Wu
Author_Institution :
Inf. & Network Center, Central South Univ., Changsha, China
Abstract :
Nowadays Beidou satellite has fully realized real-time positioning of vehicles. However, we found that when BDS was used alone, the unsteadiness in the satellite signal transmission process may cause the problem of error positioning. In order to solve the problem, we propose to use the BDS/DR vehicle integrated navigation system. Then we choose the Extended Kalman algorithm to filter the data which includes the speed and displacement acquired by Beidou satellite navigation system. The results of the simulation show that Extended Kalman algorithm can effectively increases the reliability and fault-tolerance ability of BDS/DR navigation system, and avoids the diverging risk of error caused by Dead Reckoning system positioning and improve the positioning accuracy of the system.
Keywords :
Kalman filters; fault tolerance; reliability; satellite navigation; BDS-DR vehicle integrated navigation system; Beidou satellite; dead reckoning system; extended Kalman algorithm; fault-tolerance ability; filtering strategy research; positioning accuracy; real-time vehicle positioning; reliability; satellite signal transmission process; Acceleration; Equations; Mathematical model; Satellite broadcasting; Satellite navigation systems; Satellites; Vehicles; BeiDou Navigation Satellite System(BDS); Dead Reckoning(DR); EKF; Integrated Navigation System;
Conference_Titel :
High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on
Conference_Location :
Zhangjiajie
DOI :
10.1109/HPCC.and.EUC.2013.254
