Hybrid Extended Particle Filter (HEPF) for INS/GPS integrated system

21st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2008

Volumn 1, Issue , 2008, Pages 168-177

  Aggarwal, Priyanka ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CARRIER PHASE; DATA SETS; DOUBLE-INTEGRATION; ESTIMATION TECHNIQUES; GAUSSIANS; GPS RECEIVERS; GPS/INS; HIGHLY NONLINEAR; INERTIAL MEASUREMENT UNIT; INERTIAL MEASUREMENTS; INTEGRATED NAVIGATION SYSTEMS; INTEGRATED SYSTEMS; LINEAR PROCESS; LOW COSTS; MEASUREMENT MODEL; MEMS SENSORS; MOVING OBJECTS; NAVIGATION DATA; NON-GAUSSIAN NOISE; NON-LINEARITY; NON-PARAMETRIC; PARTICLE FILTER; SIGMA POINT; STANDARD DEVIATION; TIME VARYING; UNSCENTED KALMAN FILTER; VEHICLE DYNAMICS;

AIR FILTERS; CELLULAR RADIO SYSTEMS; CONTROL THEORY; GAUSSIAN NOISE (ELECTRONIC); GLOBAL POSITIONING SYSTEM; INERTIAL NAVIGATION SYSTEMS; INTEGRATED OPTICS; MEMS; MICROELECTROMECHANICAL DEVICES; NAVIGATION; NONLINEAR EQUATIONS; NONLINEAR FILTERING; NONLINEAR SYSTEMS; OUTAGES; UNITS OF MEASUREMENT; WIRELESS TELECOMMUNICATION SYSTEMS;

EXTENDED KALMAN FILTERS;

EID: 70249108200     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. P. Aggarwal, Z. Syed, and N. El-Sheimy, "Extended particle filter (EPF) for land vehicle navigation applications," submitted to Journal of IEEE Transactions on Vehicular Technology.
2. P. Aggarwal, D. Gu, and N. El-Sheimy, "Extended particle filter (EPF) for land vehicle navigation applications," in Proc. International Global Navigation Satellite Systems, Sydney, Australia, Dec. 4-6, 2007.
3. E. H. Shin, Estimation Techniques for Low-Cost Inertial Navigation. Canada: PhD Thesis, University of Calgary, UCGE Report 20219, 2005.
4. C. Andrieu, A. Doucet, and N. De Freitas, "Rao-blackwellised particle filtering via data augmentation," Neural Information Processing Systems, vol.13,pp. 561-567
5. C. Andrieu, A. Doucet, and W. J. Fitzgerald, "An introduction to Monte Carlo methods for bayesian data analysis," in In Nonlinear Dynamics and Statistics. Anonymous Boston: Cambridge, 2001.
6. S. Arulampalan, S. Maksell, N. Gordon, and T. Clapp, "A tutorial of particle filters for online nonlinear/non-Gaussian Bayesian tracking," IEEE Transactions on Signal Processing, vol.50, no 2, pp. 174-188, Feb, 2002.
7. N. Bergman, Recursive Bayesian Estimation: Navigation and Tracking Applications. Sweden: Dissertation Nr. 579, Linköping University, 1999.
8. A. Doucet, N. De Freitas, and N. Gordon, Sequential Monte Carlo Methods in Practice. USA: Springer Verlag New York Inc., 2001.
9. A. Doucet, S. J. Godsill, and C. Andrieu, "On sequential simulation-based methods for Bayesian filtering," Statistics and Computing, vol.10, no.3, pp. 197-208, 2000.
10. J. A. Farrell and M. Barth, The Global Positioning System and Inertial Navigation. USA: McGraw-Hill Professional, 1999.
11. D. Fox, "Adapting the sample size in particle filter through KLD-sampling," Robotics Res., vol.22, pp. 985-1004, Dec, 2003.
12. N. Gordon, D. J. Salmond, and A. F. M. Smith, "Novel approach to nonlinear/non-Gaussian Bayesian state estimation," in Proc. Radar and Signal Processing, IEE Proceedings F, vol.140, pp. 107-113.
13. M. S. Grewal and A. P. Andrews, Kalman Filtering: Theory and Practice using Matlab. USA: John Wiley and Sons, 2001.
14. F. Gustafsson, F. Gunnarsson, N. Bergman, U. Forssell, J. Jansson, R. Karlsson, and P. J. Nordlund, "Particle filters for positioning, navigation and tracking," IEEE Transactions on Signal Processing, vol.50, pp. 425-437, 2002. (Pubitemid 34291522)
15. A. J. Haug, A Tutorial on Bayesian Estimation and Tracking Techniques Applicable to Nonlinear and Non-Gaussian Processes. USA: MITRE Corporation, 2005.
16. H. Hou, Modeling Inertial Sensors Errors Using Allan Variance. Canada: MSc Thesis, University of Calgary, UCGE Report 20201, 2004
17. Th European Conference of Computer Vision, 1996, pp.343-346
18. S. J. Julier, J. K. Uhlmann, and H. F. Durrant, "A new approach for filtering nonlinear systems," in Proc. of the American Control Conference, 1995, pp. 1628-1632.
19. S. J. Julier and J. K. Uhlmann, "New extension of the Kalman filter to nonlinear systems," in Proc. of the SPIE, 1997, pp. 182-193.
20. S. J. Julier, J. K. Uhlmann, and H. F. Durrant, "A new approach for nonlinear transformations of means and covariances in filters and estimators," IEEE Transactions on Automatic Control, vol.45, pp. 477-482, 2000. (Pubitemid 30888641)
21. R. Karlsson, F. Gustafsson, and T. Karlsson, "Particle filtering and Cramer-Rao lower bound for underwater navigation," in Proc. IEEE International Conference on Acoustics Speech and Signal Processing,vol. 6, pp. 65-68.
22. D. Lerro and Y. Shalom, "Tracking with debaised consistent converted measurements versus EKF," IEEE Transactions on Aerospace and Electronics Systems, vol.29, pp. 1015-1022, 1995.
23. J. Liu and R. Chen, "Sequential Monte Carlo methods for dynamics systems," Jour. of Amer. Stat. Assoc, vol.93, pp. 1031-1041, 1998.
24. P. J. Nordlund, Sequential Monte Carlo Filters and Integrated Navigation. Sweden: Thesis no. 945, Linköping Univ. Linköping, 2002.
25. M. K. Pitt and N. Shephard, "Filtering via simulation: auxiliary particle filters," J. Amer. Statist. Assoc, vol.94, pp. 590-599,1999.
26. B. Ristic, S. Arulampalan, and N. Gordon, Beyond the Kalman Filter: Particle Filters for Tracking Applications. USA: Artech House, 2004.
27. K. P. Schwarz and M. Wei, "Modeling INS/GPS for attitude and gravity applications," in Proc. High Precision Navigation 95, , 1994, pp. 200-218.
28. E. H. Shin and N. El-Sheimy, Aided Inertial Navigation System (AINS®) Toolbox for MatLab Software. Canada: University of Calgary, 2005.
29. E. H. Shin and N. El-Sheimy, "An unscented Kalman filter for in-motion alignment of low-cost IMUs," in Proc. IEEE PLANS, 2004, pp. 273-279.
30. Z. Syed, X. Niu, and N. El-Sheimy, "Optimal signal sampling configuration for MEMS INS/GPS navigation," In Proc. IEEE Vehicular Technology Conference, Montreal, Canada, Sep. 25-28, 2006, pp. 2835-2839. (Pubitemid 47158956)
31. Van Der Merwe, R., A. Doucet, N. De Freitas, and E. Wan, "The unscented particle filter" in Advances in Neural Information Processing Systems (NIPS13), 2000, pp. 584-590.