Characteristic basis function method: A numerically efficient technique for analyzing microwave and RF circuits

Kwon, Soon Jae; Du, Kai; Mittra, R.

doi:10.1002/mop.11085

Cited by 39 publications

(15 citation statements)

References 11 publications

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“…Because only one port is fed, only 4 CBFs are constructed if all of the secondary CBFs are generated with no thresholding. However using the method in [13], a total number of 16 CBFs will be generated. Thus our method is more efficient and the computational time for the CBFM will be reduced dynamically.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…The CBFM has been successfully implemented for the analysis of planar microstrip circuits and antennas [13], For N port circuit problems, it is necessary to extract the scattering parameters. In general, N linearly independent excitations are required for N port network if microstrip structures are analyzed with open load simulation.…”

Section: The Hybrid Methods Combining Cbfm With Matched Load Simulationmentioning

confidence: 99%

“…Hence our method is more efficient than one combining CBFM with open load simulation in [13,14]. Numerical examples are given to illustrate the accuracy and robustness of this method.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, the CBFM is more general, and can be applied to any class of electromagnetic problems. It has been successfully implemented for the analysis of planar microstrip circuits and antennas [13,14], and radar scattering problems of arbitrary, 3D, faceted surfaces [15]. To show the effectiveness of CBFs, we extend the proposed approach to analyze scattering and radiation from large finite period arrays of microstrip antennas, and the performance factors, for example, the accuracy and numerical efficiency in terms of computation time, are evaluated by comparison with conventional and direct MoM computation.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Efficient Analysis of Large-Scale Periodic Microstrip Antenna Arrays Using the Characteristic Basis Function Method

Wan¹,

Liu²,

Chen³

2005

PIER

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Abstract-This paper presents a novel approach for the efficient solution of large-scale periodic microstrip antenna arrays using the newly introduced characteristic basis functions (CBFs) in conjunction with the method of moments (MoM) based on the conventional RWG basis functions. The CBFs are special types of high-level basis functions by incorporating the physics of the problem, defined over domains that encompass a relatively large number of conventional subdomain basis functions. The advantages of applying the CBF method (CBFM) are illustrated by several representative examples, and the computation time as well as the memory requirements are compared to those of conventional direct computation. It is demonstrated that the use of CBFs can result in significant savings in computation time and memory requirements, with little or no compromise in the accuracy of the solution.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: The Hybrid Methods Combining Cbfm With Matched Load Simulationmentioning

confidence: 99%

“…Hence our method is more efficient than one combining CBFM with open load simulation in [13,14]. Numerical examples are given to illustrate the accuracy and robustness of this method.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Efficient Analysis of Large-Scale Periodic Microstrip Antenna Arrays Using the Characteristic Basis Function Method

Wan¹,

Liu²,

Chen³

2005

PIER

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“…The other circuit or antenna parameters can be obtained by following the conventional post-processing procedure. We next present some numerical examples to demonstrate the application of the CBFM to microwave circuit [10] and antenna problems [11]. Figure 1 shows a meander line filter printed on a dielectric slab with a ground plane.…”

Section: Cbfm For Microstrip Circuits and Printed Array Antenna Problemsmentioning

confidence: 99%

Characteristic Basis Function Method for Iteration-Free Solution of Large Method of Moments Problems

Mittra¹,

Du²

2008

PIER B

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A hybrid QR factorization with Dual‐MGS and adaptively modified characteristic basis function method for electromagnetic scattering analysis

Han

2007

Micro & Optical Tech Letters

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In this article, a hybrid method of adaptively modified characteristic basis function method (AMCBFM) and QR factorization with a dual modified Gram‐Schmidt (Dual‐MGS) algorithm, which is called QR‐AMCBFM, is presented. The first step is to derive the primary basis functions by using AMCBFM. To get the high‐level basis functions, QR factorization algorithm with Dual‐MGS is used to decompose the mutual coupling matrices. Different threshold values for the near and far field domains are set in the QR scheme. When the numerical rank gotten in the upper program is down to a set threshold, the rest interaction between farther blocks would be ignored. Subsequently, the high‐level characteristic basis functions and the coefficient of current are calculated. Once the adjacent currents precision arrives at a certain criterion, the higher‐level basis functions are thought of unnecessary. The hybrid algorithm estimates adaptively in the entire process. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 2879–2883, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22830

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Characteristic basis function method: A numerically efficient technique for analyzing microwave and RF circuits

Cited by 39 publications

References 11 publications

An Efficient Analysis of Large-Scale Periodic Microstrip Antenna Arrays Using the Characteristic Basis Function Method

An Efficient Analysis of Large-Scale Periodic Microstrip Antenna Arrays Using the Characteristic Basis Function Method

Characteristic Basis Function Method for Iteration-Free Solution of Large Method of Moments Problems

A hybrid QR factorization with Dual‐MGS and adaptively modified characteristic basis function method for electromagnetic scattering analysis

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