Efficient passive network description of IC conducted emission models for model reduction

Author:

Ludwig S.,Radić-Weissenfeld Lj.,Mathis W.,John W.

Abstract

Abstract. This article adresses the model reduction of IC conducted emission models. A method to efficiently deal with the high number of independent sources in IC conducted emission models, which are a strong limitation for model order reduction, is presented. A network alteration is proposed, which allows for a much higher model reduction than standard approaches. The system of the altered network can be more efficiently reduced with standard model order reduction algorithms in order to speed up frequency-simulations. Synthesising the reduced system into a passive electrical network enables fast time-simulations to be made with circuit simulators. The whole procedure is validated by reducing an example of an IC conducted emission model of an 32 Bit microcontroller.

Publisher

Copernicus GmbH

Reference13 articles.

1. Antoulas, A. C.: Approximation of linear dynamical systems, John Wiley and Sons, New York, USA, 1998.

2. Belevitch, V.: Classical Network Theory, Holden-Day, San Francisco, USA, 1968.

3. Dhia, S. B., Ramdani, M., and Sicard, E.: Electromagnetic Compatibility of Integrated Circuits, Springer, New York, USA, 2006.

4. Feldmann, P.: Model order reduction techniques for linear systems with large number of terminals, DATE'2004 – Design, Automation and Test in Europe, Exhibition Conference, Paris, France, 2, 944–947, 2004.

5. Hellebrandt, S., Zoellin, C. G., Wunderlich, H.-J., Ludwig, S., Coym, T., and Straube, B.: Testing and Monitoring Nanoscale Systems - Challenges and Strategies for Advanced Quality Assurance, International Conference on Microelectronics, Devices and Materials and the Workshop on Electronic Testing, Bled, Slovenia, 3–10, 2007.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3