The USC Andrew and Erna Viterbi School of Engineering USC Signal and Image Processing Institute USC Ming Hsieh Department of Electrical Engineering University of Southern California

Technical Report USC-SIPI-287

“Radar Clutter Modeling Using Stable Distributions”

by Xinyu Ma and Chrysostomos L. Nikias

September 1995

We present new methods for parameter estimation in the impulsive signal environments, which are modeled as symmetric alpha-stable (_) processes. There are two parts in this report. In the first part, we present several methods for estimation of parameters (the characteristic exponent _ and the dispersion _) of a S_S process. In the second part, we apply the estimation algorithms to radar clutter modeling. It is shown that S_S can characterize the clutter environments accurately.

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