GNSS performance enhancement in urban environment based on psuedo-range error model

Record - IEEE PLANS, Position Location and Navigation Symposium

Volumn , Issue , 2008, Pages 377-382

  Viandier, N ^a   Nahimana, D F ^a   Marais, J ^a   Duflos, E ^b  

^a French Institute of Science and Technology for Transport Development and Networks   (France)

^b ECOLE CENTRALE DE LILLE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ANTENNA ARRAYS; FLEET OPERATIONS; GLOBAL POSITIONING SYSTEM; MARKOV PROCESSES; NAVIGATION; SATELLITES; TRELLIS CODES;

ERROR MODELS; FILTERING PROCESSES; FLEET MANAGEMENTS; GAUSSIAN MIXTURES; GLOBAL NAVIGATION SATELLITE SYSTEMS; HIGH AVAILABILITIES; JUMP MARKOV SYSTEMS; LEVEL CROSSINGS; MAIN TASKS; MARKOV CHAINS; MULTIPATH RECEPTIONS; NON LINE OF SIGHTS; PERFORMANCE ENHANCEMENTS; POSITIONING SYSTEMS; PROPAGATION CHANNELS; RANGE ERRORS; RECEPTION CONDITIONS; SAFETY APPLICATIONS; SATELLITE SIGNALS; SATELLITE STATES; SIGNAL PROPAGATIONS; STATE EVOLUTIONS; TRANSPORT APPLICATIONS; URBAN AREAS; URBAN ENVIRONMENTS;

APPLICATIONS;

EID: 55349111125     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PLANS.2008.4570093     Document Type: Conference Paper

References (17)

1. D. F. Nahimana, J. Marais, and E. Duflos, "A Jump Markov System for modelling a realistic error model depending on satellite reception state in urban environment," Proceedings of ION GNSS Fort Worth, September 2007.
2. M. Berbineau, E. Masson, M. Chennaoui and J. Marais, "Satellite channel modelling using a Ray-tracing Tool for train communication," Proceedings of 6th International Conference on ITS Telecommunications Chengdu, China, June 2006.
3. J. Marais and B. Godefroy, "Analysis and optimal use of GNSS pseudo-range delays in urban canyons," Proceedings of IEEE Computational Engineering in Systems Applications (CESA), Peking, 2006.
4. N. Viandier, J. Marais, A. Prestail and E. De Verdalle, " GNSS accuracy along an urban bus line for ADAS application," Proceedings of ENC GNSS, Toulouse, France, April 2008.
5. B. W. Parkinson, Spilker, J. J., Global Positioning System: Theory and Applications vol. 163. Washington: American Institute of Aeronautics and Astronautics, 1996.
6. A. P. Dempster, N. M. Laird and D. B. Rubin, "Maximum Likelihood from Incomplete Data with the EM Algorithm (with discussion)", Journal of the Royal Statistical Society, Series B, 1977.
7. S. J. Roberts, D. Husmeier, I. Rezek, and W. Perry,"Bayesian Approaches to Gaussian Mixture Modelling,"IEEE Trans. Patt. Anal. Machine Intell., vol.20, no. 11, 1998.
8. L. Watier, S. Richardson, and P.J. Green, "Using Gaussian mixtures with unknown number of components for mixed model estimation". In 14th International Workshop on Statistical Modelling, Graz, Austria, 1999.
9. F. Caron, M. Davy, E. Duflos, P. Vanheeghe. Particle Filtering for Multisensor Data Fusion With Switching Observation Models: Application to Land Vehicle Positioning. Acoustics, Speech, and Signal Processing, IEEE Transactions. June 2007. Vol. 55, Issue: 6, Parti. On page(s): 2703-2719. ISSN: 1053-587X.
10. A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for Bayesian filtering," Statistical Computing, vol. 10, no. 3, pp. 197-208, 2000.
11. A. Doucet, N. de Freitas, and N. Gordon, Sequential Monte Carlo Methods in practice. Springer-Verlag, 2001.
12. G. Ackerson and K. Fu, "On state estimation in switching environments," IEEE Transactions on Automatic Control, vol. 15, pp. 10-17, 1970.
13. J. Tugnait, "Adaptive estimation and identification for discrete systems with Markov jump parameters," IEEE Transactions on Automatic Control, vol. 27, no. 5, pp. 1054-1065, 1982.
14. H. Blom and Y. Bar-Shalom, "The interacting multiple model algorithm for systems with Markovian switching coefficients," IEEE Transactions on Automatic Control, vol. 33, no. 8, pp. 780-783, 1988.
15. C. Andrieu, M. Davy, and A. Doucet, "Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions. IEEE Transactions on signal processing, vol. 51, no. 7, 2003.
16. R. Chen and S. Liu, "Mixture Kalman filters," J. Roy. Stat. Soc, vol. 62, no. 3, pp. 493-508, 2000.
17. A. Doucet and C. Andrieu, "Particle filtering for partially observed gaussian state space models," Journal of the Royal Statistical Society, vol. 64, no. 4, pp. 827-836, 2002.