DocumentCode :
1484300
Title :
INS/GPS Integration System using Adaptive Filter for Estimating Measurement Noise Variance
Author :
Yu, Myeong-Jong
Author_Institution :
3rd R&D Inst., Agency for Defense Dev., Daejeon, South Korea
Volume :
48
Issue :
2
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
1786
Lastpage :
1792
Abstract :
The inertial navigation system (INS)/GPS integration system is designed by employing an adaptive filter that can estimate measurement noise variance using the residual of the measurement. To verify the efficiency of the proposed loosely-coupled INS/GPS integration system, simulations were performed by assuming that GPS information has large position errors. The simulation results show that the proposed integration system with the adaptive filter is more effective in estimating the position and attitude errors than a system that uses the extended Kalman filter.
Keywords :
Global Positioning System; adaptive Kalman filters; attitude measurement; error statistics; estimation theory; inertial navigation; nonlinear filters; position measurement; GPS information; INS integration system; adaptive filter; attitude errors estimation; extended Kalman filter; inertial navigation system integration system; loosely-coupled INS-GPS integration system; measurement noise variance estimation; position errors; position estimation; Adaptive filters; Equations; Global Positioning System; Kalman filters; Mathematical model; Noise; Noise measurement;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.2012.6178100
Filename :
6178100
Link To Document :
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