DocumentCode :
231413
Title :
An improved method for gravity disturbances compensation in INS/GPS integrated navigation
Author :
Dongkai Dai ; Xingshu Wang ; Dejun Zhan ; Zongsheng Huang ; Hao Xiong
Author_Institution :
Sch. of Opto-Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2014
fDate :
19-23 Oct. 2014
Firstpage :
148
Lastpage :
153
Abstract :
Though the gravity-induced velocity and position errors can be easily dumped in GPS/INS integrated navigation, the attitude estimation errors are more affected by the gravity disturbance errors. In this paper, an improved gravity disturbance compensation method is performed to reduce the gravity-induced attitude measurement error in inertial navigation system (INS) and global positioning system (GPS) integrated navigation. Specifically, the long and medium wavelength components of the gravity disturbance are compensated by using the EGM2008 global gravity model, and then a derivative second-order Gauss-Markov process is adopted as a statistical model of the short-wavelength components, which are estimated and removed online by a Kalman filter. Simulations results show that the proposed statistical model can decouple the short-wavelength components of gravity disturbances from the attitude errors. Therefore, the attitude errors are reduced effectively when the improved compensation method is applied.
Keywords :
Global Positioning System; Kalman filters; Markov processes; inertial navigation; EGM2008 global gravity model; GPS integrated navigation; Global Positioning System integrated navigation; INS integrated navigation; Kalman filter; gravity-induced attitude measurement error; improved gravity compensation method; inertial navigation system; second-order Gauss-Markov process; statistical model; Global Positioning System; Gravity; Mathematical model; Numerical models; Sensors; Stochastic processes; Gauss-Markov process; INS/GPS integrated system; gravity disturbance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
ISSN :
2164-5221
Print_ISBN :
978-1-4799-2188-1
Type :
conf
DOI :
10.1109/ICOSP.2014.7014987
Filename :
7014987
Link To Document :
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