DocumentCode :
2434330
Title :
A modified direct whitening method for ARMA model parameter estimation
Author :
Seong, Sang Man
Author_Institution :
Korea Univ. of Technol. & Educ., Chungnam
fYear :
2007
fDate :
17-20 Oct. 2007
Firstpage :
2639
Lastpage :
2642
Abstract :
A modified version of direct whitening method which is called MDWM is proposed as an ARMA model parameter estimation technique. The direct whitening method (DWM) proposed by the author gives the parameter estimates which make the prediction errors uncorrelated. At some model, the implemented DWM algorithm falls at local minimum and give missing parameter estimates. This is similar in the well known PEM. To overcome this problem, MDWM which choose the consistent estimates among a large number of DWM estimates is proposed. In the simulation for the models which have poles and zeros are very close, the proposed method gives good estimates.
Keywords :
autoregressive moving average processes; correlation methods; ARMA model parameter estimation; MDWM; modified direct whitening method; prediction errors uncorrelated; Automatic control; Automation; Control system synthesis; Cost function; Educational technology; Electronic mail; Equations; Parameter estimation; Poles and zeros; Yttrium; ARMA model; DWM; MDWM; PEM; parameter estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems, 2007. ICCAS '07. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-6-2
Electronic_ISBN :
978-89-950038-6-2
Type :
conf
DOI :
10.1109/ICCAS.2007.4406813
Filename :
4406813
Link To Document :
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