@inproceedings{6e1b94906b904dc2930d237d2e8d38e3,
title = "Joint estimation of states and transition functions of dynamic systems using cost-reference particle filtering",
abstract = "The recently introduced cost-reference particle filter (CRPF) methodology allows for recursive estimation of unobserved states of dynamical systems without a priori knowledge of probability distributions of the noises in the system. In this paper, we use CRPFs in problems where we eliminate one more strong assumption about the state space model, the one of knowing the function governing the state evolution. We replace this function by a linearly combined set of basis functions where the linear combination coefficients are unknown. We show how CRPFs can be modified to cope with this scenario and demonstrate their performance for positioning a moving vehicle in a two-dimensional space.",
author = "Joaqu{\'i}n M{\'i}guez and Shanshan Xu and Bugallo, \{M{\'o}nica F.\} and Djuri{\'c}, \{Petar M.\}",
year = "2005",
doi = "10.1109/ICASSP.2005.1416020",
language = "English",
isbn = "0780388747",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "IV361--IV364",
booktitle = "2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Signal Proces. Education, Spec. Sessions",
note = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 ; Conference date: 18-03-2005 Through 23-03-2005",
}