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 …

We address the problem of estimation of the parameters of the 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 evaluated theoretically and via Monte-Carlo
simulation.