Two-Level Hierarchical FEM Method for Modeling Passive Microwave Devices
نویسندگان
چکیده
In recent years multigrid methods have been proven to be very e cient for solving large systems of linear equations resulting from the discretization of positive de nite di erential equations by either the nite di erence method or the h-version of the nite element method. In this paper an iterative method of the multiple level type is proposed for solving systems of algebraic equations which arise from the p-version of the nite element analysis applied to inde nite problems. A two-level V -cycle algorithm has been implemented and studied with Gauss-Seidel iterative scheme used as a smoother. The convergence of the method has been investigated, and numerical results for a number of numerical examples are presented. 3
منابع مشابه
Artificial Neural Networks for RF and Microwave Design: From Theory to Practice
Abstract -Neural network computational modules have recently gained recognition as an unconventional and useful tool for RF and microwave modeling and design. Neural networks can be trained to learn the behavior of passive/active components/circuits. A trained neural network can be used for high-level design, providing fast and accurate answers to the task it has learned. Neural networks are at...
متن کاملOverview of Microwave Device Modeling Techniques Based on Machine Learning
This paper overviews the microwave device modeling techniques based on machine learning. The proposed methods are divided into two categories, active and passive components modeling. These modeling techniques aim to characterize the microwave device efficiently and accurately. The active components consist of MESFET, HEMT, pHEMT, and so on. The passive devices include inductor, capacitor, Lange...
متن کاملSome Applications of Neural Networks in Microwave Modeling
This paper presents some apprilcations of neural networks in the microwave modeling. The applications are related to modeling of either passive or active structures and devices. Modeling is performed using not only simple multilayer perceptron network (MLP) but also advanced knowledge based neural network (KBNN) structures. Keywords–Neural network, modeling, microwave, microstrip gap, microwave...
متن کاملCurrent Distribution and Nonlinearity of Open-Ends and Gaps in Superconducting Microstrip Structures
Superconducting devices are known to produce nonlinear effects. In planar structures, these nonlinearities depend on the current distribution on the strip, which definitely depends on the structure of device. This paper used a numerical method based on 3D-FEM to obtain the current distribution in the open-ends and gaps in the superconducting microstrip structures. This is used to present the no...
متن کامل2-dimensional Finite Elemental Modeling of Microwve Heating (fem) of a Coal Sample; to Determine Temperature Rise with Time at a Certain Power Density
A two dimensional finite element model (FEM) was developed to Predict the temperature distribution in coal particles with the aid of microwave heating. However, transient temperature profile for coal particles of high dielectric loss factor is obtained when exposed to microwave radiation. The heat equation and Maxwell’s equation are simultaneously solved using the finite element method to predi...
متن کامل