UWB based dielectric material characterization using hardware/software co-design based ANN

Santu Sardar, Amit K. Mishra

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Abstract

The feasibility of using reflected Ultra Wideband (UWB) waves in Hardware/Software (Hw/Sw) Co-design based Artificial Neural Network (ANN) framework as a non-destructive method for dielectric material characterization by estimating their relative dielectric constant, is discussed in this paper. The property of an electromagnetic wave changes owing to the effects of relative dielectric constant & conductivity of a dielectric material. Depending on the relative dielectric constant & conductivity of a dielectric material, the reflection or transmission signal changes in terms of it's amplitude and spread. This property can be utilized to estimate the relative dielectric constant of a dielectric material. First, software implementation was carried out for feasibility analysis. In the next step, Hw/Sw co-design implementation was proposed to overcome the limitations of software implementation of ANN. These approaches are discussed and validated using FDTD simulation.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Industrial Technology, ICIT 2013
PublisherIEEE Press
Pages1196-1200
Number of pages5
ISBN (Electronic)978-1-4673-4569-9
ISBN (Print)978-1-4673-4567-5
DOIs
Publication statusPublished - 25 Feb 2013
Externally publishedYes
Event2013 IEEE International Conference on Industrial Technology, ICIT 2013 - Cape Town, South Africa
Duration: 25 Feb 201328 Feb 2013

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology

Conference

Conference2013 IEEE International Conference on Industrial Technology, ICIT 2013
Country/TerritorySouth Africa
CityCape Town
Period25 Feb 201328 Feb 2013

Keywords

  • ANN
  • conductivity
  • dielectric constant
  • FDTD
  • Hw/Sw co-design
  • UWB

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