On the characterization of impulsive noise with a-stable distributions using fourier techniques

Abstract

A new technique is presented for the characterization of impulsive interference with a-stable processes. The proposed model is constructed by estimating the a-stable distribution parameters using the empirical characteristic function. Characteristic function based methods have been shown to yield the best performance but are plagued by the amount of computation required. The new parameter estimation algorithm is shown to achieve the same level of performance as other characteristic function based methods while greatly reducing the amount of computation required.