RCS characterization of sea clutter by using the -stable distributions - ENSTA Bretagne - École nationale supérieure de techniques avancées Bretagne Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

RCS characterization of sea clutter by using the -stable distributions


In this paper, we propose a comparative statistical study of the ocean surface bistatic scattering which is useful in a problem of maritime radar target detection.We firstly introduce the electromagnetic properties and geometrical aspects of the sea surface. The scattered field of the sea surface is computed from the Physical Optics (PO) and compared with the Kirchhoff Approximation (KA) and the Small Perturbations Method (SPM). Early works have already characterized the Radar Cross Section (RCS) with a statistical model as the Weibull and K distributions. However, these models are limited especially when the probability density function of the sea surface RCS has a heavy tail. Consequently, we use a family of laws called the -stable distributions. We compare the results obtained with each model by using a Kolmogorov-Smirnov test from several random sea surfaces and give a confidence interval for the estimated parameters of the -stable distribution. We finally analyse the impact of distribution errors on detection performance.
Fichier non déposé

Dates et versions

hal-00736396 , version 1 (28-09-2012)


  • HAL Id : hal-00736396 , version 1


Anthony Fiche, Ali Khenchaf, Jean-Christophe Cexus, Majid Rochdi, Arnaud Martin. RCS characterization of sea clutter by using the -stable distributions. Radar 2012, Oct 2012, France. ⟨hal-00736396⟩
429 Consultations
0 Téléchargements


Gmail Facebook X LinkedIn More