Distance to Object Estimation Based on Software Defined Radio USRP using Python

Diego Armando Mora-Huaman, Facundo Palomino Quispe, Roger Jesus Coaquira-Castillo, Mark Clemente-Arenas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The use of a Software Defined Radio System SDR is widely used in several critical applications such as wireless communications, airborne, satellite, radar, etc. SDR through Universal Peripheral Radio Software Technology USRP, has allowed to reduce hardware complexity and cost. In this article, the implementation of a Frequency Modulated Continuous Wave FMCW radar is presented to estimate the distance between the transmitter and a target object at 3.3 GHz using open source hardware and software such as: GNU Radio, USRP B210 and Python.

Original languageEnglish
Title of host publicationProceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728193779
DOIs
StatePublished - Sep 2020
Externally publishedYes
Event27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 - Virtual, Lima, Peru
Duration: 3 Sep 20205 Sep 2020

Publication series

NameProceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020

Conference

Conference27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
Country/TerritoryPeru
CityVirtual, Lima
Period3/09/205/09/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • GNU Radio
  • Software Defined Radio
  • radar FMCW

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