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
fDate :
1/1/1995 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on