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 :
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