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A MULTIMODAL ANALYSIS OF THE EFFECTS OF SERIES FILTERING OVER HIGH SPEED SIGNAL PATHS

  • Francisco Javier Pajares
  • , Miquel Ribó
  • , Joan Ramon Regué
  • , Pablo Rodríguez-Cepeda
  • , David Badia
  • , Lluís Pradell

Research output: Book chapterConference contributionpeer-review

Abstract

Due to the high strip density in nowadays PCB circuits, high speed signal paths are often placed next to other signal strips. These strips, commonly routed over a ground plane, generate coupled microstrip sections. If these high speed signals have high harmonic components, they can easily interfere other signal strips. In order to reduce this high harmonic content, a series impedance is sometimes placed into the signal path to filter this high harmonic content. In this paper, the effect of this series filtering is analyzed from a multimodal point of view. A multimodal analysis, very common in EMC, allows a simple interpretation of the phenomena involved in the integrity of the signals propagated through the strips. In order to test the adequacy of this multimodal approach, a PCB circuit is analyzed, circuitally simulated and measured. The good agreement between circuit simulation and measurements validates this multimodal approach.

Original languageEnglish
Title of host publicationEMC Europe 2006 Barcelona, International Symposium on Electromagnetic Compatibility
EditorsFerran Silva, Mireya Fernandez, Miquel Ribo, Joan R. Regue
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)8468994383, 9788468994383
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event7th International Symposium on Electromagnetic Compatibility, EMC Europe 2006 Barcelona - Barcelona, Spain
Duration: 4 Sept 20068 Sept 2006

Publication series

NameEMC Europe 2006 Barcelona, International Symposium on Electromagnetic Compatibility

Conference

Conference7th International Symposium on Electromagnetic Compatibility, EMC Europe 2006 Barcelona
Country/TerritorySpain
CityBarcelona
Period4/09/068/09/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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