bibtype J - Journal Article
ARLID 0410722
utime 20240103182234.6
mtime 20060210235959.9
title (primary) (eng) Filtering, predictive, and smoothing Cramér-Rao bounds for discrete-time nonlinear dynamic systems
specification
page_count 14 s.
serial
ARLID cav_un_epca*0256218
ISSN 0005-1098
title Automatica
volume_id 37
volume 11 (2001)
page_num 1703-1716
publisher
name Elsevier
keyword nonlinear systems
keyword stochastic systems
keyword nonlinear state estimation
author (primary)
ARLID cav_un_auth*0212537
name1 Šimandl
name2 M.
country CZ
author
ARLID cav_un_auth*0060923
name1 Královec
name2 J.
country CZ
author
ARLID cav_un_auth*0101212
name1 Tichavský
name2 Petr
institution UTIA-B
full_dept Department of Stochastic Informatics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 12B
cas_special
project
project_id GA102/01/0021
agency GA ČR
ARLID cav_un_auth*0004061
research AV0Z1075907
abstract (eng) Cramér-Rao lower bounds for the discrete-time nonlinear state estimation problem are treated. The lower bounds for mean-square error matrices of filtering, predictive, and smoothing estimates are derived in the form of recursive relations. Computation of filtering, predictive, and smoothing Cramér-Rao bounds, their mutual comparison and utilization for quality evaluation of some nonlinear filters are shown on numerical examples.
RIV BB
department SI
permalink http://hdl.handle.net/11104/0130810
ID_orig UTIA-B 20010191
arlyear 2001
mrcbU63 cav_un_epca*0256218 Automatica 0005-1098 1873-2836 Roč. 37 č. 11 2001 1703 1716 Elsevier