Federated unscented particle filtering algorithm for SINS/CNS/GPS system

Journal of Central South University of Technology (English Edition)

Volumn 17, Issue 4, 2010, Pages 778-785

  Hu, Hai Dong ^a   Huang, Xian Lin ^a   Li, Ming Ming ^a   Song, Zhuo Yue ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

integrated navigation; navigation system; unscented Kalman filter; unscented particle filter

Indexed keywords

CELESTIAL NAVIGATION SYSTEM; FEDERATED FILTER; FLIGHT PHASIS; GAUSSIAN ERRORS; GAUSSIAN NOISE; INTEGRATED NAVIGATION; INTEGRATED NAVIGATION SYSTEMS; LOCAL FILTERS; NON-GAUSSIAN NOISE; PARTICLE FILTERING; PARTICLE FILTERING ALGORITHMS; SIMULATION RESULT; STRAP-DOWN INERTIAL NAVIGATION SYSTEMS; UNSCENTED KALMAN FILTER; UNSCENTED PARTICLE FILTERS;

ALGORITHMS; GAUSSIAN DISTRIBUTION; INERTIAL NAVIGATION SYSTEMS; KALMAN FILTERS; LAUNCHING; MANEUVERABILITY; NAVIGATION; NONLINEAR FILTERING;

GLOBAL POSITIONING SYSTEM;

EID: 77956489931     PISSN: 10059784     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11771-010-0556-7     Document Type: Article

References (21)

1. R. E. Kalman 1960 A new approach to linear filtering and prediction problems [J] Journal of Basic Engineering 82 35 46
2. T. I. Fossen T. Perez 2009 Kalman filtering for positioning and heading control of ships and offshore rigs [J] IEEE Transactions on Control Systems 29 6 32 46 10.1109/MCS.2009.934408 2588839
3. M. Schneebeli C. Matzler 2009 A calibration scheme for microwave radiometers using tipping curves and Kalman filtering [J] IEEE Transactions on Geoscience and Remote Sensing 47 12 4201 4209 10.1109/TGRS.2009.2023784
4. J. G. Yi H. P. Wang J. J. Zhang D. Z. Song S. Jayasuriya J. T. Liu 2009 Kinematic modeling and analysis of skid-steered mobile robots with applications to low-cost inertial-measurement-unit-based motion estimation [J] IEEE Transactions on Robotics 25 5 1087 1097 10.1109/TRO.2009.2026506
5. O. Sayadi M. B. Shamsollahi 2008 ECG denoising and compression using a modified extended Kalman filter structure [J] IEEE Transactions on Biomedical Engineering 55 9 2240 2248 10.1109/TBME.2008.921150
6. M. Boussak 2005 Implementation and experimental investigation of sensorless speed control with initial rotor position estimation for interior permanent magnet synchronous motor drive [J] IEEE Transactions on Power Electronics 20 6 1413 1422 10.1109/TPEL.2005.854014 (Pubitemid 41723480)
7. C. A. Lightcap S. A. Banks 2010 An extended Kalman filter for real-time estimation and control of a rigid-link flexible-joint manipulator [J] IEEE Transactions on Control Systems Technology 18 1 91 103 10.1109/TCST.2009.2014959
8. A. Y. Alanis E. N. Sanchez A. G. Loukianov M. A. Perez-Cisne-Ros 2010 Real-time discrete neural block control using sliding modes for electric induction motors [J] IEEE Transactions on Control Systems Technology 18 1 11 21 10.1109/TCST.2008.2009466
9. JULIER S J, UHLMANN J K, DURRANT-WHYTEN H F. A new approach for filtering nonlinear system [C]// Processing of the American Control Conference. Washington D.C., 1995: 1628-1632.
10. R.-h. Zhan J.-wei. Wan 2006 Neural network-aided adaptive unscented Kalman filter for nonlinear state estimation [J] Signal Processing Letters 13 7 445 448 10.1109/LSP.2006.871854 (Pubitemid 43997208)
11. N. Bellotto H. S. Hu 2009 Multisensor-based human detection and tracking for mobile service robots [J] Systems, Man, and Cybernetics 39 1 167 181
12. W. F. Leven A. D. Lanterman 2009 Unscented Kalman filters for multiple target tracking with symmetric measurement equations [J] IEEE Transactions on Automatic Control 54 2 370 375 10.1109/TAC.2008.2008327 2491967
13. N. A. Carlson 1990 Federated square root filter for decentralized parallel processes [J] IEEE Transactions on Aerospace and Electronic Systems 26 3 517 525 10.1109/7.106130 (Pubitemid 20737480)
14. A. Doucet 2000 On sequential simulation-based methods for Bayesian filtering [J] Statistics and Computing 10 3 197 208 10.1023/A:1008935410038 1763472
15. Y. Li H. Z. Ai T. Yamashita S. H. Lao M. Kawade 2008 Tracking in low frame rate video: A cascade particle filter with discriminative observers of different life spans [J] IEEE Transactions on Pattern Analysis and Machine Intelligence 30 10 1728 1740 10.1109/TPAMI.2008.73
16. J. J. Martinez-Espla T. Martinez-Marin J. M. Lopez-Sanchez 2009 A particle filter approach for INSAR phase filtering and unwrapping [J] IEEE Transactions on Geoscience and Remote Sensing 47 4 1197 1211 10.1109/TGRS.2008.2008095
17. O. Ozdemir R. Niu P. K. Varshney 2009 Tracking in wireless sensor networks using particle filtering: Physical layer considerations [J] IEEE Transactions on Signal Processing 57 5 1987 1999 10.1109/TSP.2009.2014818
18. P. Nordlund F. Gustafsson 2009 Marginalized particle filter for accurate and reliable terrain-aided navigation [J] IEEE Transactions on Aerospace and Electronic Systems 45 4 1385 1399 10.1109/TAES.2009.5310306
19. G. M. Hoffmann C. J. Tomlin 2010 Mobile sensor network control using mutual information methods and particle filters [J] IEEE Transactions on Automatic Control 55 1 32 47 10.1109/TAC.2009.2034206 2599335
20. F. Mustiere M. Bolic M. Bouchard 2009 Speech enhancement based on nonlinear models using particle filters [J] IEEE Transactions on Neural Networks 20 12 1923 1937 10.1109/TNN.2009.2033367
21. MERWE R V D, DOUCET A, FREITAS N D, ERIC W. The unscented particle filter [R]. Cambridge: Cambridge University, 2000.