Robust adaptive filtering method for SINS/SAR integrated navigation system

Aerospace Science and Technology

Volumn 15, Issue 6, 2011, Pages 425-430

  Gao, Shesheng ^a   Zhong, Yongmin ^b   Li, Wei ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b CURTIN UNIVERSITY   (Australia)

Author keywords

Adaptive factor; Integrated navigation system; Robust adaptive filtering; Strapdown Inertial Navigation System; Synthetic Aperture Radar

Indexed keywords

ADAPTIVE FACTOR; ADAPTIVE KALMAN FILTERING; COMPARISON ANALYSIS; INTEGRATED NAVIGATION SYSTEMS; OBSERVATION NOISE; OBSERVATIONAL DATA; ROBUST ADAPTIVE; ROBUST ESTIMATION; SINS/SAR INTEGRATED; STRAP-DOWN INERTIAL NAVIGATION SYSTEMS; SYSTEM STATE;

ADAPTIVE FILTERS; COVARIANCE MATRIX; IMAGING SYSTEMS; INERTIAL NAVIGATION SYSTEMS; INTEGRATION; NAVIGATION; SYNTHETIC APERTURE RADAR;

ADAPTIVE FILTERING;

EID: 80052260166     PISSN: 12709638     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ast.2010.08.007     Document Type: Article

References (21)

1. H. Bian, Z. Jin, and W. Tian Study on GPS attitude determination system aided INS using adaptive Kalman filter Measurement Science and Technology 16 10 2005 2072 2079 (Pubitemid 41380641)
2. N.A. Carlson Federated square root filter for decentralized parallel processes IEEE Transactions on Aerospace and Electronic Systems 26 3 1990 517 525
3. W. Ding, J. Wang, and C. Rizos Improving adaptive Kalman estimation in GPS/INS integration Journal of Navigation 60 3 2007 517 529
4. S.C. Douglas Introduction to adaptive filters V.K. Madisetti, Digital Signal Processing Fundamentals 2010 Taylor & Francis Boca Raton, FL 18-1 18-18
5. A. El-Mowafy, and A. Mohamed Attitude determination from GNSS using adaptive Kalman filtering The Journal of Navigation 58 1 2005 135 148 (Pubitemid 40195523)
6. W. Gao, Y. Yang, X. Cui, and S. Zhang Application of adaptive Kalman filtering algorithm in IMU/GPS integrated navigation system Geo-Spatial Information Science 10 1 2007 22 26 (Pubitemid 46736387)
7. S. Gao, Y. Zhong, X. Zhang, and B. Shirinzadeh Multi-sensor optimal data fusion for INS/GPS/SAR integrated navigation system Aerospace Science and Technology 13 4-5 2009 232 237
8. A. Gelb Applied Optimal Estimation 2002 MIT Press Cambridge, Massachusetts
9. Y. Geng, and J. Wang Adaptive estimation of multiple fading factors in Kalman filter for navigation applications GPS Solutions 12 4 2008 273 279
10. M.S. Grewal, A.P. Andrews, and Kalman Filtering Theory and Practice Using Matlab 2001 John Wiley & Sons New York
11. C. Hide, T. Moore, and M. Smith Adaptive Kalman filtering for low cost INS/GPS The Journal of Navigation 56 1 2003 143 152 (Pubitemid 36238543)
12. C. Hu, W. Chen, Y. Chen, and D. Liu Adaptive Kalman filtering for vehicle navigation Journal of Global Positioning Systems 2 1 2003 42 47
13. D.-J. Jwo, and T.-P. Weng An adaptive sensor fusion method with applications in integrated navigation The Journal of Navigation 61 4 2008 705 721
14. T.S. Lee Theory and application of adaptive fading memory Kalman filters IEEE Transactions on Circuits and Systems 35 4 1988 474 477 (Pubitemid 18639774)
15. A.H. Mohamed, and K.P. Schwarz Adaptive Kalman filtering for INS/GPS Journal of Geodesy 73 4 1999 193 203 (Pubitemid 29432784)
16. A.H. Sayed, and M. Rupp Robust issues in adaptive filtering V.K. Madisetti, Digital Signal Processing Fundamentals 2010 Taylor & Francis Boca Raton, FL 20-1 20-20
17. Q. Xia, M. Rao, Y. Ying, and X. Shen Adaptive fading Kalman filter with an application Automatica 30 8 1994 1333 1338 (Pubitemid 124008294)
18. Y. Yang, and X. Cui Adaptively robust filter with multi adaptive factors Survey Review 40 309 2008 260 270
19. Y. Yang, and W. Gao An optimal adaptive Kalman filter Journal of Geodesy 80 4 2006 177 183 (Pubitemid 44089005)
20. Y. Yang, H.-B. He, and G. Xu Adaptively robust filtering for kinematic geodetic positioning Journal of Geodesy 75 2-3 2001 109 116
21. L. Zhao, X. Wang, and J. Ding Overview of nonlinear filter methods applied in integrated navigation system Journal of Chinese Inertial Technology 17 1 2009 46 52