High resolution radar clutter statistics

Author

Anastassopoulos, V. ; Lampropoulos, G.A. ; Drosopoulos, A. ; Rey, M.

Author_Institution

AUG Signals Ltd., Canada

Volume

35

Issue

1

fYear

1999

fDate

1/1/1999 12:00:00 AM

Firstpage

43

Lastpage

60

Abstract

The generalized compound probability density function (GC-pdf) is presented for modeling high resolution radar clutter. In particular, the model is used to describe deviation of the speckle component from the Rayleigh to Weibull or other pdfs with longer tails. The GC-pdf is formed using the generalized gamma (GΓ) pdf to describe both the speckle and the modulation component of the radar clutter. The proposed model is analyzed and thermal noise is incorporated into it. The validation of the GC-pdf with real data is carried out employing the statistical moments as well as goodness-of-fit tests. A large variety of experimental data is used for this purpose. The GC-pdf outperforms the K-pdf in modeling high resolution radar clutter and reveals its structural characteristics

Keywords

Gaussian distribution; Weibull distribution; data analysis; gamma distribution; radar clutter; radar theory; speckle; Rayleigh probability density function; Weibull probability density function; generalized gamma; goodness-of-fit tests; high resolution radar clutter; igh resolution radar clutter; modeling; modulation component; probability density function; radar clutter statistics; speckle; speckle component; statistical moments; structural characteristics; thermal noise; Clutter; Electromagnetic scattering; Probability density function; Radar scattering; Rayleigh scattering; Signal resolution; Speckle; Statistical distributions; Statistics; Tail;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.745679

Filename

745679