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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728193779
DOI
EstadoPublicada - set. 2020
Publicado de forma externa
Evento27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 - Virtual, Lima, Perú
Duración: 3 set. 20205 set. 2020

Serie de la publicación

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

Conferencia

Conferencia27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
País/TerritorioPerú
CiudadVirtual, Lima
Período3/09/205/09/20

Nota bibliográfica

Publisher Copyright:
© 2020 IEEE.

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