UWB based dielectric material characterization using PCNN based ASIN framework

Santu Sardar, Amit K. Mishra

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

Abstract

A non-destructive method for shape invariant dielectric material characterization by estimating their relative dielectric constant using Pulse Coupled Neural Network (PCNN) based Application Specific Instrumentation (ASIN) Framework with Ultra Wide Band (UWB) sensors is discussed in this paper. The property of an electromagnetic wave changes due to the effects of relative dielectric constant & conductivity of a dielectric material, which changes reflection or transmission signal in terms of it's amplitude and spread. This property can be utilized to estimate the relative dielectric constant of a dielectric material. First, our implementation is compared to existing approaches to establish the superiority of the proposed method. In the next step, we established the geometric shape invariance property of our work i.e. this method can estimate the dielectric property of a material irrespective of its geometric shape. These approaches are validated using Finite Difference Time Domain (FDTD) simulation.

Original languageEnglish
Title of host publication2014 International Conference on Advances in Electrical Engineering, ICAEE 2014
PublisherIEEE Press
Number of pages5
ISBN (Electronic)978-1-4799-3543-7
ISBN (Print)9781479935420
DOIs
Publication statusPublished - 09 Jan 2014
Externally publishedYes
Event2014 International Conference on Advances in Electrical Engineering, ICAEE 2014 - Vellore, Tamilnadu, India
Duration: 09 Jan 201411 Jan 2014

Publication series

Name2014 International Conference on Advances in Electrical Engineering, ICAEE 2014

Conference

Conference2014 International Conference on Advances in Electrical Engineering, ICAEE 2014
Country/TerritoryIndia
CityVellore, Tamilnadu
Period09 Jan 201411 Jan 2014

Keywords

  • ASIN
  • conductivity
  • dielectric constant
  • FDTD
  • PCNN
  • UWB

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