1 |
Anderson, B.D.O. and J.B. Moore. 1979. Optimal Filtering, Prentice Hall, New York, NY. 368pp.
|
2 |
Haykin, S. 2001. Kalman Filtering and Neural Networks. John Wiley & Sons, Inc., New York. 284pp.
|
3 |
Julier, S.J. and J.K. Uhlmann. 1997. A general method for approximating nonlinear transformations of probability distributions, Technical report, Department of Engineering Science, University of Oxford, Oxford, England. 27pp.
|
4 |
Julier, S.J., J.K. Uhlmann and H.F. Durrant-Whyte. 1995. A new approach for filtering nonlinear systems. Proc. of the American Control Conference, Seattle, WA, pp.1625-1632.
|
5 |
Julier, S.J., J.K. Uhlmann and H.F. Durrant-Whyte. 2000. A new approach for nonlinear transformations of means and covariances in filters and estimators. IEEE Transactions on Automatic Control 45(3):477-482.
DOI
ScienceOn
|
6 |
Kalman, R.E. 1960. A New Approach to Linear Filtering and Prediction Problems. Trans. of the ASME-Journal of Basic Engineering 82(D):35-45.
DOI
|
7 |
Klass, M., M. Briers, N. de Freitas, A. Doucet, S. Maskell and D. Lang. 2006. Fast particle smoothing: If I had a million particles, in Proc. ICML 2006, Pittsburgh, PA, pp.481-488.
|
8 |
Lee, J.K. and C. Jekeli. 2009. Improved Filter Strategies for Precise Unexploded Ordnance Geolocation using IMU/GPS integration, Journal of Navigation 62(3):365-382.
DOI
ScienceOn
|
9 |
Maybeck, P. S. 1979. Stochastic models, estimation and control: Academic Press, New York. 423pp.
|
10 |
Rauch, H. E., F. Tung and C. T. Striebel. 1965. Maximum likelihood estimates of linear dynamic systems, AIAA J 3(2): 1445-1450.
DOI
|
11 |
Sarkka, S. 2008. Unscented Rauch -Tung -Striebel Smoother, Automatic Control, IEEE Transactions on, 53(3): 845-849.
|
12 |
Shin, E.H. 2005. Estimation Techniques for Low-Cost Inertial Navigation. Ph.D. Thesis, University of Calgary. UCGE Report 20219. 181pp.
|
13 |
Van der Merwe, R., A. Doucet, N. de Freitas and E. Wan. 2000. The unscented particle filter. Technical Report CUED/F-INFENG/TR 380, Engineering Department, Cambridge University, Cambridge, England.
|
14 |
Wan, E.A. and R. van Der Merwe. 2001. The unscented Kalman filter. Chapter 7 in: Simon Haykin (Ed.), Kalman Filtering and Neural Networks, John Wiley & Sons, New York. 50pp.
|
15 |
Welch, G. and G. Bishop. 2001. An Introduction to the Kalman Filter. Chapel Hill. SIGGRAPH. 16pp.
|