Přejít na obsah

Detail publikace


Šimandl, M. and Straka, O. : Sampling density design for particle filters . 13th IFAC Symposium on System Identification, p. 180-185, OMNIPRESS, Rotterdam, 2003.


Particle filters for state estimation of discrete time dynamic stochastic systems are treated. The stress is laid on design of sampling pdf which is significant for quality of the particle filters. A new functional sampling density design based on utilization of transient and measurement pdf's is proposed. The functional approach compares two pdf's of a reference variable which are obtained by transformation of the transient and measurement pdf's, using Kullback J-divergence. The functional approach to sampling density function synthesis using transient and measurement density functions can be understood as improvement of the sampling density design of the auxiliary particle filter which uses only point estimate of the transient pdf. The higher quality of the functional particle filter with respect to the bootstrap and auxiliary particle filter is illustrated in a numerical example.

Detail publikace

Název: Sampling density design for particle filters
Autor: Šimandl, M. ; Straka, O.
Jazyk publikace: anglicky
Datum vydání: 27.8.2003
Rok vydání: 2003
Typ publikace: Stať ve sborníku
Název časopisu / knihy: 13th IFAC Symposium on System Identification
Strana: 180 - 185
Nakladatel: OMNIPRESS
Místo vydání: Rotterdam
Datum: 27.8.2003 - 29.8.2003
/ /

Klíčová slova

state estimation, nonlinear systems, particle filters, sampling density


 author = {\v{S}imandl, M. and Straka, O.},
 title = {Sampling density design for particle filters},
 year = {2003},
 publisher = {OMNIPRESS},
 journal = {13th IFAC Symposium on System Identification},
 address = {Rotterdam},
 pages = {180-185},
 url = {http://www.kky.zcu.cz/en/publications/SimandlM_2003_Samplingdensity},