High-Accuracy Emission Simulation Models for VLSI Chips including Package and Printed Circuit Board

2008 Asia-Pacific Symposium on Electromagnetic Compatibility and 19th International Zurich Symposium on Electromagnetic Compati

et al. 2008

This paper addresses the order reduction of IC conducted emission models. These models are mathematically described by singular matrices of high order. Usually the order of the matrices can be reduced by the multipoint Krylov based order reduction. To achieve an even lower order we introduce a two step order reduction. The first step is the order reduction method based on the multipoint approximation of system matrices by utilizing the Krylov subspace. The second step is based on the rejection of the dispensable part of a system. To recognize the remaining dispensable system part Lyapunov equations are used. Thus this paper introduces the efficient solutions of the Lyapunov equations. With two-step order reduction a high speed-up in frequency analysis can be achieved

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Two-step order reduction of IC conducted emission models

Radic-Weissenfeld

2008 Asia-Pacific Symposium on Electromagnetic Compatibility and 19th International Zurich Symposium on Electromagnetic Compati

et al. 2008

“…Analogue and digital part in mixed-signal circuits are mainly coupled through the substrate, the package and interconnects. These parasitic couplings can be modelled by large passive networks composed of resistors, capacitors and inductors as shown in Figure 1 (Verghese et al, 2004;Stanisic et al, 1994;Chen and Neely, 1998;Steinecke et al, 2007). The digital switching currents act as distributed sources inside the IC and can be modelled with a large number of independent current sources ( Figure 1; Verghese et al, 2004;Steinecke et al, 2007;Gstottner et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Model reduction of parasitic coupling networks of mixed‐signal VLSI circuits

2011

COMPEL

Purpose -This paper aims to present a method for the efficient reduction of networks modelling parasitic couplings in very-large-scale integration (VLSI) circuits. Design/methodology/approach -The parasitic effects are modelled by large RLC networks and current sources for the digital switching currents. Based on the determined behaviour of the digital modules, an efficient description of these networks is proposed, which allows for a more efficient model reduction than standard methods. Findings -The proposed method enables a fast and efficient simulation of the parasitic effects. Additionally, an extension of the reduction method to elements, which incorporate some supply voltage dependence to model the internal currents more precisely than independent current sources is presented. Practical implications -The presented method can be applied to large electrical networks, used in the modelling of parasitic effects, for reducing their size. A reduced model is created which can be used in investigations with circuit simulators requiring a lowered computational effort. Originality/value -Contrary to existing methods, the presented method includes the knowledge of the behaviour of the sources in the model to enhance the model reduction process.

“…Electrical macromodels of the electromagnetic compatibility (EMC) behavior of chips are created to help semiconductor manufacturers to take EMC effects into account during the design process. The macromodels can contain thousands of passive electrical elements and independent sources as well as a high number of pins [4], [5]. The high complexity leads to long simulation times.…”

Section: Introductionmentioning

confidence: 99%

Efficient description of RLC-macromodels with a large number of independent sources for model order reduction

Radic-Weissenfeld

2008 International Symposium on Electromagnetic Compatibility - EMC Europe

et al. 2008

This paper introduces an efficient description of electromagnetic macromodels that contain passive electrical elements and a large number of independent sources. This description allows for much higher order reduction than the standard description. In the proposed description the behavior at the pins of the model as well as the passivity are preserved. With model order reduction algorithms the proposed description of the network can be reduced more efficiently and therewith a higher speed-up in simulations can be achieved. The whole procedure is validated by applying it to an macromodel of the electromagnetic behavior of a 32 Bit microcontroller