Novel hybrid of LS-SVM and kalman filter for GPS/INS integration

Journal of Navigation

Volumn 63, Issue 2, 2010, Pages 289-299

  Xu, Zhenkai ^a,b   Li, Yong ^b   Rizos, Chris ^b   Xu, Xiaosu ^a  

^a SOUTHEAST UNIVERSITY   (China)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

GPS outages; GPS INS integration; Kalman filter; Support vector machine

Indexed keywords

ATTITUDE ERROR; BLACK BOXES; EMPIRICAL ERRORS; FIELD TEST DATA; GLOBAL PERFORMANCE; GPS SIGNALS; GPS/INS; GPS/INS INTEGRATION; HIGHLY NONLINEAR; HYBRID METHOD; INDIVIDUAL SYSTEMS; INERTIAL SENSOR; INERTIAL SENSOR ERROR; INTEGRATED SOLUTIONS; INTEGRATED SYSTEMS; LEAST SQUARES SUPPORT VECTOR MACHINES; MICROELECTROMECHANICAL SYSTEMS; NAVIGATION SOLUTION; OPTIMAL NUMBER; OVERFITTING; REAL-WORLD APPLICATION; RESEARCH AREAS; RESEARCH COMMUNITIES; SVM REGRESSION ALGORITHMS; VEHICLE DYNAMICS; VEHICLE MOTION;

ERRORS; INERTIAL NAVIGATION SYSTEMS; INTEGRATED CONTROL; INTEGRATED OPTICS; KALMAN FILTERS; MICROELECTROMECHANICAL DEVICES; NAVIGATION; NEURAL NETWORKS; OPTIMIZATION; OUTAGES; SENSORS; SUPPORT VECTOR MACHINES; VECTORS;

GLOBAL POSITIONING SYSTEM;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; GEODESY; GNSS; GPS; IMAGE CLASSIFICATION; KALMAN FILTER; LEAST SQUARES METHOD; NAVIGATION; NONLINEARITY; PERFORMANCE ASSESSMENT; POSITIONING; REGRESSION ANALYSIS;

EID: 77953606650     PISSN: 03734633     EISSN: 14697785     Source Type: Journal    
DOI: 10.1017/S0373463309990361     Document Type: Article

References (16)

1. Li, Y., Mumford, P. and Rizos, C. (2008). "A Real-time GPS/INS Integrated System", Coordinates, Vol.IV, No.3, 12-17, March 2008.
2. Brown, A., and Lu, Y. (2004). "Performance Test Results on an Integrated GPS/MEMS Inertial Navigation Package", in Proc. of 17th International Technical Meeting of the Satellite Division, U.S. Institute of Navigation, Long Beach, CA, Sept 21-24. 2004, 825-832.
3. Jaffe, R., Bonomi, S., and Madni, A. M. (2004). "Miniature MEMS Quartz INS/GPS Description and Performance Attributes", in Proc. of 17th International Technical Meeting of the Satellite Division, U.S. Institute of Navigation, Long Beach, CA, Sept 21-24. 2004, 852-863.
4. Goodall, C., El-Sheimy, N., and Chiang, K. W. (2005). "The Development of a GPS/MEMS INS Integrated System Utilising a Hybrid Processing Architecture", in Proc. of 18th International Technical Meeting of the Satellite Division, U.S. Institute of Navigation, Long Beach, CA, September 13-16. 2005, 1444-1455.
5. Jwo, D. J., and Huang H-C. (2004). "Neural Network Aided Adaptive Extended Kalman Filtering Approach for DGPS Positioning", Journal of Navigation, 57, 449-463.
6. Korniyenko, O. V., Sharawi, M. S., and Aloi, D. N. (2005). "Neural Network Based Approach for Tuning Kalman Filter ", presented at IEEE Electro/Information Technology Conference (EIT 2005), Lincoln - Nebraska, May 22-25, 2005, 1-5.
7. El-Rabbany, A., and El-Diasty, M. (2004). "An Efficient Neural Network Model for De-noising of MEMS-based Inertial Data", Journal of Navigation, 57, 407-415.
8. Wang, J. J., Wang, J., Sinclair, D. and Watts, L. (2006). "A Neural Network and Kalman Filter Hybrid Approach for GPS/INS Integration", 12th IAIN Congress & 2006 International Symposium on GPS/GNSS, Jeju, Korea, October 18-20, 277-282.
9. Vapnik, V. (1995). The Nature of Statistical Learning Theory, Springer-Verlag, New-York.
10. Vapnik, V. (1998). Statistical Learning Theory, John Wiley, New-York.
11. Bar-Itzhack, I. Y., and Berman N. (1988). "Control Theoretical Approach to Inertial Navigation Systems", Journal of Guidance, Control and Dynamics, Vol.11, No.3, 237-245.
12. Vapnik, V. (1998). "The Support Vector Method of Function Estimation", in Nonlinear Modeling: Advanced Black-box Techniques, Suykens J.A.K., Vandewalle J. (Eds.), Kluwer Academic Publishers, Boston, 55-85.
13. Golub, G. H. and Van Loan, C. F. (1989). Matrix Computations, Baltimore MD: Johns Hopkins University Press.
14. Van Gestel, T., Suykens, J. A. K., Lanckriet, G., Lambrechts, A., De Moor, B. and Vandewalle. J. (2002). "A Bayesian Framework for Least Squares Support Vector Machine Classifiers", Nerual Computation, May 2002, Vol.14, No.5, Pages 1115-1147.
15. Li, Y., Mumford, P., and Rizos C. (2008). "Seamless Navigation Through GPS Outages - A Low-cost GPS/INS Solution", Inside GNSS, July/August 2008, 39-45.
16. Boeing North American Inc, User's Manual of C-MIGITS II., 1997, 67.