DocumentCode
154338
Title
Identification of fractional order noises
Author
Sierociuk, Dominik ; Ziubinski, Pawel
Author_Institution
Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Warsaw, Poland
fYear
2014
fDate
2-5 Sept. 2014
Firstpage
240
Lastpage
245
Abstract
The paper presents method for parametric identification of a fractional order noise. The fractional order colored noise is a generalization of the traditional colored noise (noise with dynamic dependency) in the case when the dynamics of noise is a fractional order dynamics. Proposed identification algorithms are designed for two cases: when order of noise is known and when order of the noise have to be determined. Algorithm for determining the fractional order based on information about noise self correlation. Finally, results of numerical experiments are presented for presenting efficiency of proposed methods.
Keywords
noise; signal processing; fractional order colored noise parametric identification; fractional order dynamics; noise dynamics; noise self-correlation; 1f noise; Correlation; Equations; Estimation; Kalman filters; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Methods and Models in Automation and Robotics (MMAR), 2014 19th International Conference On
Conference_Location
Miedzyzdroje
Print_ISBN
978-1-4799-5082-9
Type
conf
DOI
10.1109/MMAR.2014.6957358
Filename
6957358
Link To Document