A Monte Carlo study of the rough-sea-surface influence on the radar scattering from two-dimensional ships

Author

Burkholder, Robert J. ; Pino, Marcos R. ; Obelleiro, Fernando

Author_Institution

Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA

Volume

43

Issue

2

fYear

2001

fDate

4/1/2001 12:00:00 AM

Firstpage

25

Lastpage

33

Abstract

The generalized forward-backward (GFB) method was introduced in Pino et al. (1999) for computing the electromagnetic scattering from two-dimensional targets on a rough surface. The GFB method is used in this article to generate numerical data for a Monte Carlo simulation of the horizontally polarized radar cross section (RCS) of two-dimensional ship-like targets on random rough sea surfaces. The RCS is computed as a function of the incidence angle and wind speed for a large number of surface realizations. It is found that the mean RCS of a given target on a rough surface is generally lower than or equal to the RCS of the same target on a flat surface, while the maximum RCS is usually greater than or equal to the flat-surface case. It is also observed that the variations in the RCS introduced by the rough surface become less significant as the elevation angle approaches grazing

Keywords

Monte Carlo methods; electromagnetic wave scattering; marine radar; ocean waves; radar cross-sections; radar detection; radar interference; radar polarimetry; rough surfaces; ships; Monte Carlo study; RCS; elevation angle; flat-surface case; generalized forward-backward method; horizontally polarized radar cross section; incidence angle; radar scattering; random rough sea surfaces; rough-sea-surface; two-dimensional ship-like targets; two-dimensional ships; two-dimensional targets; wind speed; Electromagnetic scattering; Integral equations; Marine vehicles; Monte Carlo methods; Radar cross section; Radar scattering; Rough surfaces; Sea surface; Surface roughness; Surface treatment;

fLanguage

English

Journal_Title

Antennas and Propagation Magazine, IEEE

Publisher

ieee

ISSN

1045-9243

Type

jour

DOI

10.1109/74.924601

Filename

924601