Classification of CommSense data using learning algorithms

Abhishek Bhatta, Amit Kumar Mishra, Jan Pidanic

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

1 Citation (SciVal)

Abstract

In our previous work we have shown the design of a Communication based Sensing (CommSense) system. The current work presents analysis of the data captured by a CommSense system. Analysis is performed using Support Vector Machines (SVM) and a Multi-layer Perceptron (MLP) which are commonly used supervised learning algorithms. The predicted results are presented in the form of a confusion matrix and an analysis is presented showing the percentage of error in prediction.

Original languageEnglish
Title of host publicationIET Conference Publications
PublisherInstitution of Engineering and Technology
Number of pages6
EditionCP728
ISBN (Electronic)9781785614217, 9781785615030, 9781785616624, 9781785616723, 9781785616990, 9781785617072
ISBN (Print)9781785615078, 9781785615153
DOIs
Publication statusPublished - 23 Oct 2017
Externally publishedYes
Event2017 International Conference on Radar Systems, Radar 2017 - Belfast, United Kingdom of Great Britain and Northern Ireland
Duration: 23 Oct 201726 Oct 2017

Publication series

NameIET Conference Publications
NumberCP728
Volume2017

Conference

Conference2017 International Conference on Radar Systems, Radar 2017
Country/TerritoryUnited Kingdom of Great Britain and Northern Ireland
CityBelfast
Period23 Oct 201726 Oct 2017

Keywords

  • Commensal Radar
  • CommSense
  • GSM
  • MLP
  • SVM

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