Particle filtering algorithm for ultra-tight GNSS/INS integration

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

Volumn 1, Issue , 2008, Pages 239-246

  Bernal, David ^a   Closas, Pau ^a   Fernández Rubio, Juan A ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; BOOTSTRAP FILTERS; CONVENTIONAL APPROACH; MONTE CARLO; PARTICLE FILTER; PARTICLE FILTER ALGORITHMS; PARTICLE FILTERING ALGORITHMS; Q MEASUREMENTS; RECURSIONS; STATE-SPACE MODELS; SYSTEM MODELS; TIGHTLY-COUPLED;

AIR FILTERS; CELLULAR RADIO SYSTEMS; CONTROL THEORY; DISTRIBUTED COMPUTER SYSTEMS; EXTENDED KALMAN FILTERS; GLOBAL POSITIONING SYSTEM; MATHEMATICAL MODELS; MODEL STRUCTURES; NAVIGATION; NONLINEAR FILTERING; TARGET TRACKING;

ALGORITHMS;

EID: 70249109243     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. P. M. Djuric, J. H. Kotecha, J. Zhang, Y. Huang, T. Ghirmai, M. F. Bugallo, and J. Miguez, "Particle Filtering," IEEE Signal Processing Mag., vol.20, no.5, pp. 19-38, September 2003.
2. A. Doucet, N. de Freitas, and N. Gordon, Eds., Sequential Monte Carlo Methods in Practice, Springer, 2001.
3. B. Ristic, S. Arulampalam, and N. Gordon, Beyond the Kalman Filter: Particle Filters for tracking applications, Artech House, Boston, 2004.
4. D. Crisan and A. Doucet, "A Survey of Convergence Results on Particle Filtering for Practitioners," IEEE Trans. Signal Processing, vol.50, no.3, pp. 736-746, March 2002.
5. Paul D. Groves, Principles of GNSS, inertial and multi-sensor navigation systems, Artech House, London, England, 2008.
6. Ravindra Babu and Jinling Wang, "Ultra-Tight GPS/INS/PL Integration: A System Concept and Performance Analysis," Tech. Rep., School of Surveying and Spatial Information Systems, The University of New South Wales, Sydney, Australia, 2004.