Simulation of dependent samples of symmetric alpha-stable clutter

Author

Szajnowski, W.J. ; Wynne, J.B.

Author_Institution

Dept. of Electron. Eng., Inf. Technol. & Math., Surrey Univ., Guildford, UK

Volume

8

Issue

5

fYear

2001

fDate

5/1/2001 12:00:00 AM

Firstpage

151

Lastpage

152

Abstract

Discrete-time samples of isotropic clutter with symmetric alpha-stable (S/spl alpha/S) distribution are generated by modulating a complex correlated Gaussian sequence with a nonnegative sequence with skewed stable distribution. The quadrature components of such simulated clutter are uncorrelated, yet dependent, with uniform phase. The statistical dependence between samples of the modulating sequence is induced by employing an autoregressive moving-average scheme with nonnegative stable innovations. A simple autoregressive scheme is analyzed in more detail, and a special technique for simulating isotropic Cauchy clutter is presented.

Keywords

Gaussian distribution; autoregressive moving average processes; digital simulation; radar clutter; radar signal processing; signal sampling; statistical analysis; Gaussian distribution; autoregressive moving-average; complex correlated Gaussian sequence modulation; dependent samples simulation; discrete-time samples; isotropic Cauchy clutter; isotropic clutter; modulating sequence; nonnegative sequence; nonnegative stable innovations; quadrature components; radar clutter modeling; simulated clutter; skewed stable distribution; statistical dependence; symmetric alpha-stable clutter; symmetric alpha-stable distribution; uniform phase clutter; Analytical models; Gaussian distribution; Independent component analysis; Oceans; Probability distribution; Radar clutter; Radar scattering; Random variables; Speckle; Technological innovation;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/97.917700

Filename

917700