Fast estimation of the parameters of alpha-stable impulsive interference

We address the problem of estimation of the parameters of the recently proposed symmetric, alpha-stable model for impulsive interference. We propose new estimators based on asymptotic extreme value theory, order statistics, and fractional lower order moments, which can be computed fast and are, ther...

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Bibliographic Details
Published in:IEEE transactions on signal processing 1996-06, Vol.44 (6), p.1492-1503
Main Authors: Tsihrintzis, G.A., Nikias, C.L.
Format: Article
Language:English
Subjects:
Applied sciences
Degradation
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Gaussian processes
Hardware
Information, signal and communications theory
Interference
Mathematical model
Parameter estimation
Signal and communications theory
Signal generators
Signal processing
Signal processing algorithms
Signal, noise
Software algorithms
Telecommunications and information theory
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Summary:We address the problem of estimation of the parameters of the recently proposed symmetric, alpha-stable model for impulsive interference. We propose new estimators based on asymptotic extreme value theory, order statistics, and fractional lower order moments, which can be computed fast and are, therefore, suitable for the design of real-time signal processing algorithms. The performance of the new estimators is theoretically evaluated, verified via Monte Carlo simulation, and compared with the performance of maximum-likelihood estimators.
ISSN:1053-587X
1941-0476
DOI:10.1109/78.506614