An Indefinite Impedance Matrix Technique for Efficient Analysis of Planar Circuits With Irregular Shapes

IF 1.8 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2024-08-20 DOI:10.1109/JMMCT.2024.3446285
Ihsan Erdin
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Abstract

An indefinite impedance matrix technique is proposed for efficient analysis of irregular shaped planar microwave and gigabit rate printed circuit board (PCB) circuits. The proposed method combines segmentation and desegmentation algorithms in a single matrix operation. The segmentation algorithm unites multiple planar blocks to make a composite structure by connecting them at their edge ports which become dependent variables of the resulting system. The desegmentation algorithm, on the other hand, removes a planar block or multiple blocks from a structure by delimiting the removed blocks with shared ports which are dependent variables of the overarching system. Both segmentation and desegmentation algorithms require separation of ports into independent and dependent variable groups. The composite system matrix is ill-conditioned due to its dependent entries. The singularity is fixed by casting the matrix into a reduced form with the elimination of dependent entries according to proper terminal conditions. Normally, planar structures with complicated shapes can be characterized with successive application of segmentation and desegmentation methods. The proposed algorithm combines these multiple operations in a single matrix which includes the dependent ports of both added and subtracted blocks. The concomitant ill-conditioning of the augmented matrix is tackled with algebraic operations subject to terminal conditions which result in a reduced size indefinite impedance matrix. The proposed system of equations eliminate the need for successive application of segmentation and desegmentation methods and improve efficiency.
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用于高效分析不规则形状平面电路的无定式阻抗矩阵技术
本文提出了一种不定阻抗矩阵技术,用于有效分析不规则形状的平面微波和千兆位速率印刷电路板(PCB)电路。所提出的方法在单一矩阵操作中结合了分割和解分割算法。分割算法通过连接多个平面块的边缘端口,将它们组合成一个复合结构,这些边缘端口成为最终系统的因变量。另一方面,解分割算法则通过共享端口(即总体系统的因变量)对被移除的区块进行分界,从而从结构中移除一个或多个平面区块。分割和解分割算法都需要将端口分为自变量组和因变量组。由于自变量项的存在,复合系统矩阵的条件不佳。根据适当的终端条件,通过消除从属项,将矩阵转化为还原形式,从而解决奇异性问题。通常,形状复杂的平面结构可以通过连续应用分割和解分割方法来表征。所提出的算法将这几种操作结合到一个单一的矩阵中,该矩阵包含了添加块和减去块的从属端口。在终端条件下,通过代数运算解决了增量矩阵的伴随非条件化问题,从而得到了尺寸更小的不定阻抗矩阵。拟议的方程系统无需连续应用分割和解分割方法,从而提高了效率。
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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
27
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