A Coupled Efficient and Systematic Full-Wave Time-Domain Macromodeling and Circuit Simulation Method for Signal Integrity Analysis of High-Speed Interconnects

Li, Er‐Ping; Liu, En‐Xiao; Li, Le‐Wei; Leong, Mook‐Seng

doi:10.1109/tadvp.2004.825448

Cited by 86 publications

(25 citation statements)

References 26 publications

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“…In the preceding section, we present vector-fitting method. This technique has been used in many microwave simulations and modeling researches [29][30][31].…”

Section: Other Methods In Microwave Modelingmentioning

confidence: 99%

Modeling and Simulation Techniques for Microwave Components

Mohammadi¹,

Sadrossadat²

2017

Microwave Systems and Applications

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This chapter discusses about methods used in simulation and modeling of radio frequency (RF)/microwave circuits and components. The main topic that is discussed here is about one of the most powerful methods, that is, artificial neural networks. In this chapter, different types of neural network such as dynamic and recurrent neural networks will be discussed. Other techniques that are popular in the area of microwave components simulation and modeling are numerical techniques such as vector fitting, Krylov method, and Pade approximation. At the end of the chapter, vector fitting as an example of numerical methods will be discussed.Keywords: artificial neural networks, circuit simulation and modeling, transient analysis, function approximation, RF/microwave circuits IntroductionIn recent years, ascending development of wireless communication products and huge trend for commercial market in this ground caused significant improvement in modeling and simulation approaches of radio frequency (RF) and microwave circuits. Such high-frequency circuits are leading to the development of a large variety of microwave models for passive and active devices and circuit components [1]. Modeling and computer-aided design (CAD) methods have an essential role in microwave designs and simulations [2]. The older approaches were mainly based on slow trial-and-error processes and an emphasis on performance at any price, but today seems to be a new era in high-frequency circuit design and modeling, since development in this ground has enabled microwave engineers to design larger, more efficient, and more complicated circuits than before [1,3]. This complexity requires new materials and technologies that require not only new models but also new © 2017 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.algorithms in computer-aided design [4] for RF/microwave circuits, antennas, and systems to keep up with the advancement of technology with emphasis on time-to-market and low-cost approaches [1,3]. In addition to accurate parametric-modeling techniques to describe the behavior of the microwave device, a reliable description that explains the changes of its behavior against geometrical or physical parameters is also needed [5].Also, since circuit models at high frequencies often lack fidelity, detailed electromagnetic (EM) simulation techniques are needed to improve design accuracy. Although EM simulation techniques are heavily used yet, they are computationally expensive, so there is a demand for design methodologies to be not only accurate but also fast. Another concerning problem today is optimization. To meet this purpose, computer-based algorithms that work with iterative circuit evaluation are needed; this process also needs a highly repetitive computational process. Another concerning issue a...

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“…In the preceding section, we present vector-fitting method. This technique has been used in many microwave simulations and modeling researches [29][30][31].…”

Section: Other Methods In Microwave Modelingmentioning

confidence: 99%

Modeling and Simulation Techniques for Microwave Components

Mohammadi¹,

Sadrossadat²

2017

Microwave Systems and Applications

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“…As first example, a three-port microstrip power-divider circuit [34], [35] has been modeled. The conductivity of the microstrip and the ground plane is σ = 5.8 × 10 7 S/m.…”

Section: B Three-port Microstrip Power Dividermentioning

confidence: 99%

A Fast Sparse Reluctance- and Capacitance-Based Solver for the Partial Element Equivalent Circuit Method

Romano

Antonini

Daroui

et al. 2014

IEEE Trans. Electromagn. Compat.

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Abstract-A new technique for the reluctance method applied to the partial element equivalent circuit method for the time-domain analysis is presented which is well suited to be combined with acceleration techniques. In particular, taking advantage of the rank deficiency of the magnetic and electric field couplings, a new technique for the sparsification of reluctance and capacitance matrices is adopted. Furthermore, the multiscale block decomposition technique has been applied to fast fill these matrices. Finally, the sparse multifrontal LU factorization has been adopted to efficiently compute the global solution. Numerical results demonstrate the validity of the proposed approach in terms of speedup and accuracy.Index Terms-Acceleration techniques, adaptive cross approximation, fast solvers, multiscale block decomposition, partial element equivalent circuit (PEEC), reluctance method, sparse multifrontal LU factorization, time-domain methods.

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“…A three-port microstrip power-divider circuit [44], [45] has been modeled in this example. The structure is shown in Fig.…”

Section: A Three-port Microstrip Power-divider Circuitmentioning

confidence: 99%

Interpolation-Based Parameterized Model Order Reduction of Delayed Systems

Ferranti

Nakhla

Antonini

et al. 2012

IEEE Trans. Microwave Theory Techn.

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Abstract-Three-dimensional electromagnetic methods are fundamental tools for the analysis and design of high-speed systems. These methods often generate large systems of equations, and model order reduction (MOR) methods are used to reduce such a high complexity. When the geometric dimensions become electrically large or signal waveform rise times decrease, time delays must be included in the modeling.Design space optimization and exploration are usually performed during a typical design process that consequently requires repeated simulations for different design parameter values. Efficient performing of these design activities calls for parameterized model order reduction (PMOR) methods, which are able to reduce large systems of equations with respect to frequency and other design parameters of the circuit, such as layout or substrate features.We propose a novel PMOR method for neutral delayed differential systems, which is based on an efficient and reliable combination of univariate model order reduction methods, a procedure to find scaling and frequency shifting coefficients and positive interpolation schemes. The proposed scaling and frequency shifting coefficients enhance and improve the modeling capability of standard positive interpolation schemes and allow accurate modeling of highly dynamic systems with a limited amount of initial univariate models in the design space. The proposed method is able to provide parameterized reduced order models passive by construction over the design space of interest. Pertinent numerical examples validate the proposed PMOR approach.Index Terms-Delayed systems, interpolation, parameterized model order reduction (PMOR), partial element equivalent circuit method (PEEC).

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A Coupled Efficient and Systematic Full-Wave Time-Domain Macromodeling and Circuit Simulation Method for Signal Integrity Analysis of High-Speed Interconnects

Cited by 86 publications

References 26 publications

Modeling and Simulation Techniques for Microwave Components

Modeling and Simulation Techniques for Microwave Components

A Fast Sparse Reluctance- and Capacitance-Based Solver for the Partial Element Equivalent Circuit Method

Interpolation-Based Parameterized Model Order Reduction of Delayed Systems

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