Kalman Filtering/Particle Filtering Repository
Designer: Daksh Shukla (Ph.D. student of KU Aerospace Engineering). Designed for fun in ME 788 Optimal Estimation (Spring 2017). Reuse allowed with source attribution.
Kalman Filtering Repository
- Understanding the Kalman Filter
Richard J. Meinhold and Nozer D. Singpurwalla, The American Statistician, 1983 - Kalman and Extended Kalman Filters: Concept, Derivation and Properties
Maria Isabel Ribeiro, 2004 - An Introduction to the Kalman Filter
Greg Welch and Gary Bishop, 2006 - Kalman Quickie
Bruno O. S. Teixeira, IEEE Control Systems, 2010 - Applications of Kalman Filtering in Aerospace 1960 to the Present
Mohinder S. Grewal and Angus P. Andrews, IEEE Control Systems, 2010 - Understanding the Basis of the Kalman Filter Via a Simple and Intuitive Derivation
Ramsey Faragher, IEEE Signal Processing Magazine, 2012 - Nonlinear Bayesian Estimation: From Kalman Filtering to a Broader Horizon
Huazhen Fang, Ning Tian, Yebin Wang, MengChu Zhou and Mulugeta A. Haile, IEEE/CAA Journal of Automatica Sinica, 2018 - A Kalman Filtering Toolbox for Matlab
Simo Särkkä, Jouni Hartikainen and Arno Solin, 2011
Particle Filtering Repository
- A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking
M. Sanjeev Arulampalam, Simon Maskell, Neil Gordon, and Tim Clapp, IEEE Transactions on Signal Processing, 2002 - Bayesian Filtering: From Kalman Filters to Particle Filters, and Beyond
Zhe Chen, 2003 - A Tutorial on Particle Filtering and Smoothing: Fifteen Years Later
Arnaud Doucet and Adam M. Johansen, 2008 - A Particle Filtering Toolbox for Matlab
Simo Särkkä, Jouni Hartikainen, 2008