Open AccessElectromagnetic scattering of two-dimensional rough cylinder based on statistical integral equation
Author(s) -
Maoyan Zhu,
Anqi Wang,
Zhixiang Huang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1651/1/012123
Subject(s) - gaussian , integral equation , scattering , method of moments (probability theory) , monte carlo method , gaussian surface , convergence (economics) , moment (physics) , surface (topology) , cylinder , mathematics , mathematical analysis , computational electromagnetics , statistical physics , physics , electromagnetic field , optics , classical mechanics , estimator , geometry , statistics , quantum mechanics , economics , electric field , economic growth
The study of electromagnetic scattering from Gaussian rough surface is of great significance in radar reconnaissance, target tracking and ocean remote sensing. The moment method (MOM) is a commonly used method with high accuracy. However, in the past research, Monte Carlo method is used to simulate the Gaussian rough surface. In this method, a large number of random simulation operations are carried out, and then a statistical convergence result is obtained by counting the results of all operations. In this paper, the stochastic integral equation method SIEM(Stochastic Integral Equation Method) is proposed to calculate the electromagnetic scattering of Gaussian rough surface. SIEM avoids the difficulty of high difficulty precise modeling and repeated calculation many times, and only single modeling and calculation are carried out for the target problem. In this paper, the electromagnetic scattering of two-dimensional cylinder with Gaussian rough surface is solved, and the effectiveness of SIEM is proved by comparing with mom.