A descriptor form implementation of PEEC models incorporating dispersive and lossy dielectrics

Andreas Hartman, J. Ekman, G. Antonini, D. Romano
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Abstract

With rising frequencies involved in electronics, losses and dispersion exhibited by dielectrics become important to consider in electromagnetic modeling. The Partial Element Equivalent Circuit (PEEC) method is suitable for a mixed electromagnetic and circuit setting, forming equivalent circuits that can be interconnected with circuit elements. In this paper, a descriptor form representation of PEEC models incorporating dispersive and lossy dielectrics is developed. By representing the electrical permittivity with a Debye-Lorentz model equivalent circuits can be synthesized. The synthesized circuits for the permittivity are included in the PEEC equations by formulating the circuit equations for the additional circuit unknowns. This yields an input/output formulation that can handle an arbitrary number of finite dielectrics and be integrated by any kind of integration scheme. Furthermore, it offers a straightforward way to incorporate lossy and dispersive dielectrics into a PEEC solver compared to using recursive convolution. The proposed descriptor form representation is tested for a setup consisting of three microstrips over a ground plane, separated by a dielectric substrate. Both the ideal and the lossy and dispersive case are tested and compared. Furthermore, the proposed formulation is verified against an existing implementation in the frequency-domain. Good agreement between the proposed formulation and the existing frequency-domain PEEC formulation is obtained.
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包含色散介质和损耗介质的PEEC模型的描述符形式实现
随着电子器件频率的增加,电介质的损耗和色散在电磁建模中变得非常重要。部分元件等效电路(PEEC)方法适用于电磁和电路混合设置,形成可与电路元件互连的等效电路。本文提出了包含色散介质和损耗介质的PEEC模型的描述形式。用德拜-洛伦兹模型表示介电常数可以合成等效电路。通过为附加电路未知量制定电路方程,将介电常数的合成电路包含在PEEC方程中。这就产生了一个输入/输出公式,它可以处理任意数量的有限介电体,并可以通过任何类型的积分方案进行积分。此外,与使用递归卷积相比,它提供了一种将有损和色散介质合并到PEEC求解器中的直接方法。所提出的描述符形式表示法在一个由介电衬底分隔的地平面上的三个微带组成的装置上进行了测试。对理想情况和有损色散情况进行了测试和比较。此外,所提出的公式在频域上与现有的实现进行了验证。所提出的公式与现有的频域PEEC公式非常吻合。
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