@inproceedings{4a195d35dfe743abbebacf43d7fec834,
title = "State estimation for linear systems with additive cauchy noises: Optimal and suboptimal approaches",
abstract = "Only few estimation methods can converge in the presence of impulsive measurement and/or process noises without the use of augmented heuristic schemes. To understand the performance of these schemes, the optimal Idan/Speyer Cauchy Estimator (ISCE) is compared with the performance of the particle filter (PF) and Gaussian sum filter (GSF) as the convergence time of these estimators is allowed to increase. That is, the number of particles at each step for the PF and the number of Gaussian components at each step for the GSF are increased and their performance relative to the ISCE is numerically studied for scalar and two-state dynamic systems.",
author = "Robert Fonod and Moshe Idan and Speyer, {Jason L.}",
note = "Publisher Copyright: {\textcopyright} 2016 EUCA.; 2016 European Control Conference, ECC 2016 ; Conference date: 29-06-2016 Through 01-07-2016",
year = "2016",
doi = "10.1109/ECC.2016.7810491",
language = "الإنجليزيّة",
series = "2016 European Control Conference, ECC 2016",
pages = "1434--1439",
booktitle = "2016 European Control Conference, ECC 2016",
}