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Lecture 6, Kalman filter - Smoothing, Non-linear filtering, Propagating distributions, Representing distributions,

Tid: Måndag 1 oktober 2012 kl 13:15 - 15:00 2012-10-01T13:15:00 2012-10-01T15:00:00

Kungliga Tekniska högskolan
Optimal Filtering, PhD course, 10 credits

Plats: L22

Administratör Mats Bengtsson skapade händelsen 14 augusti 2012

Administratör Mats Bengtsson ändrade rättigheterna 23 augusti 2012

Kan därmed läsas av alla och ändras av mats bengtsson (matben@kth.se).
Administratör Mats Bengtsson redigerade 2 september 2012

Lecture 6, Kalman filter - Smoothing, Non-linear filtering, Propagating distributions, Representing distributions,

Reading instructions: Kailath, Sect. 16.1-16.5¶

Material on non-linear filtering, to be added.¶

Administratör Mats Bengtsson redigerade 27 september 2012

Reading instructions: Kailath, Sect. 16.1-16.5

Material on non-linear filtering, to be added.¶


* Arulampalam, S., Maskell, S., Gordon, N. and Clapp, T. (2002) A tutorial on particle lters for on-line nonlinear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing, 50(2):174-188.
* F. Gustafsson, “Particle filter theory and practice with positioning applications,” IEEE Transactions on Aerospace and Electronics Systems Magazine Part II: Tutorials, vol. 25, no. 7, pp. 53–82, 2010.

Administratör Mats Bengtsson redigerade 1 oktober 2012

Reading instructions: Kailath, Sect. 16.1-16.5

Material on non-linear filtering:


* Arulampalam, S., Maskell, S., Gordon, N. and Clapp, T. (2002) A tutorial on particle lters for on-line nonlinear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing, 50(2):174-188.
* F. Gustafsson, “Particle filter theory and practice with positioning applications,” IEEE Transactions on Aerospace and Electronics Systems Magazine Part II: Tutorials, vol. 25, no. 7, pp. 53–82, 2010.
Copies of slides, slightly extended after todays lecture!¶

Homework 6, due Monday 8/10¶

Matlab functions for Homework 6¶

Administratör Mats Bengtsson redigerade 3 oktober 2012

Reading instructions: Kailath, Sect. 16.1-16.5

Material on non-linear filtering:


* Arulampalam, S., Maskell, S., Gordon, N. and Clapp, T. (2002) A tutorial on particle lters for on-line nonlinear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing, 50(2):174-188.
* F. Gustafsson, “Particle filter theory and practice with positioning applications,” IEEE Transactions on Aerospace and Electronics Systems Magazine Part II: Tutorials, vol. 25, no. 7, pp. 53–82, 2010.
Copies of slides, slightly extended after todays lecture!

Homework 6, due Monday 8/10 (minor typos fixed Oct. 3)

Matlab functions for Homework 6

Hela världen får läsa.

Senast ändrad 2012-10-03 15:41

Taggar: Saknas än så länge.