Title :
Fractional order noise identification with application to temperature sensor data
Author :
Ziubinski, Pawel ; Sierociuk, Dominik
Author_Institution :
Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Warsaw, Poland
Abstract :
The paper presents experimental results of fractional order noise identification process for the data obtained from a temperature sensor. 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. Algorithm for determining the fractional order is based on information about noise self correlation.
Keywords :
temperature measurement; temperature sensors; fractional order colored noise identification process; noise self correlation; temperature sensor; Colored noise; Correlation; Fractional calculus; Temperature measurement; Temperature sensors;
Conference_Titel :
Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
Conference_Location :
Lisbon
DOI :
10.1109/ISCAS.2015.7169151