DocumentCode
747174
Title
On estimating the spectral exponent of fractional Brownian motion
Author
Leu, Jenn-Sen ; Papamarcou, Adrian
Author_Institution
Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
Volume
41
Issue
1
fYear
1995
fDate
1/1/1995 12:00:00 AM
Firstpage
233
Lastpage
244
Abstract
Three estimators of the exponent α in the power spectral density g(λ)=cg|λ|-α of fractional Brownian motion are evaluated. These are (i) the periodogram-based estimator αˆPG (ii) the maximum likelihood estimator αˆML; and (iii) the Allan (1966) variance-based estimator αˆAV. Large-sample properties of the mean-square error (MSE) and the associated sampling distribution are examined, αˆPG emphasis on the case α∈(1, 2). The MSE performance of αˆPG is judged to be inferior to that of both αˆML and αˆAV. The rate of decrease of MSE is the same for αˆML and αˆAV; the former estimator has smaller MSE, while the latter is less sensitive to departures from the power-law model and is considerably easier to compute
Keywords
Brownian motion; Gaussian processes; maximum likelihood estimation; signal sampling; spectral analysis; Allan variance-based estimator; Gaussian process; MSE; fractional Brownian motion; large-sample properties; maximum likelihood estimator; mean-square error; periodogram-based estimator; power spectral density; power-law model; sampling distribution; spectral exponent estimation; 1f noise; Brownian motion; Frequency; Gaussian processes; Linear regression; Maximum likelihood estimation; Motion estimation; Power system modeling; Sampling methods; Semiconductor device noise;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.370105
Filename
370105
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