TY - GEN
T1 - Design of a filtering algorithm based on FOG SINS /GPS/DR
AU - Zhang, Ke
AU - Bai, Jun Qing
AU - Gu, Bing Lun
PY - 2013
Y1 - 2013
N2 - As the most important index, the navigation accuracy and reliability is used to measure the performance of FOG vehicle integrated navigation system. In the foundation of federated filter and systematic accident diagnose algorithms, a novel integrated navigation filtering algorithm is designed based on FOG SINS(Fiber Optic Gyroscope Strapdown Inertial Navigation System), GPS(Global Positioning System), DR(Dead Reckoning). The simulation results show that the federated filter with failure detection can make full use of information from navigation sensor, and can isolate fault sources effectively, its accuracy and reliability are better than the generalized filters'.
AB - As the most important index, the navigation accuracy and reliability is used to measure the performance of FOG vehicle integrated navigation system. In the foundation of federated filter and systematic accident diagnose algorithms, a novel integrated navigation filtering algorithm is designed based on FOG SINS(Fiber Optic Gyroscope Strapdown Inertial Navigation System), GPS(Global Positioning System), DR(Dead Reckoning). The simulation results show that the federated filter with failure detection can make full use of information from navigation sensor, and can isolate fault sources effectively, its accuracy and reliability are better than the generalized filters'.
KW - Federated filtering algorithm
KW - FOG SINS/GPS/DR
UR - http://www.scopus.com/inward/record.url?scp=84885733656&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.367.499
DO - 10.4028/www.scientific.net/AMM.367.499
M3 - 会议稿件
AN - SCOPUS:84885733656
SN - 9783037857885
T3 - Applied Mechanics and Materials
SP - 499
EP - 502
BT - Mechanics, Simulation and Control III
T2 - 2013 3rd International Conference on Mechanics, Simulation and Control, ICMSC 2013
Y2 - 22 June 2013 through 23 June 2013
ER -