Simulation of correlated Pareto distributed sea clutter

Author

Bocquet, Stephen

Author_Institution

Defence Sci. & Technol. Organ., Melbourne, VIC, Australia

fYear

2013

fDate

9-12 Sept. 2013

Firstpage

258

Lastpage

261

Abstract

The memoryless nonlinear transformation method is used to simulate Pareto distributed sea clutter with a specified correlation function for the clutter power. The Pareto distribution is formed from a compound model with a negative exponential distribution for the speckle intensity and an inverse gamma distribution for the clutter power. An estimator based on the expectation value of z log z is obtained for the Pareto shape parameter, which has comparable accuracy to the maximum likelihood estimator and the advantage of also being applicable to the compound gamma distribution which arises for multiple looks.

Keywords

Pareto distribution; exponential distribution; gamma distribution; marine radar; maximum likelihood estimation; radar clutter; search radar; Pareto shape parameter; clutter power; compound gamma distribution; correlated Pareto distributed sea clutter simulation; correlation function; inverse gamma distribution; maritime surveillance radars; maximum likelihood estimator; memoryless nonlinear transformation method; negative exponential distribution; speckle intensity; Clutter; Compounds; Correlation; Mathematical model; Maximum likelihood estimation; Shape; Speckle; Pareto distribution; Radar; correlation; sea clutter;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar (Radar), 2013 International Conference on

Conference_Location

Adelaide, SA

Print_ISBN

978-1-4673-5177-5

Type

conf

DOI

10.1109/RADAR.2013.6651995

Filename

6651995