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

doi:10.1109/INTERCON50315.2020.9220252

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 congreso › Contribución a la conferencia › revisión 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. Raw signals processing from wall reflections was implemented in Python, and the distance estimation is presented on a spectrogram

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781728193779
DOI	https://doi.org/10.1109/INTERCON50315.2020.9220252
Estado	Publicada - set. 2020
Publicado de forma externa	Sí
Evento	27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 - Virtual, Lima, Perú Duración: 3 set. 2020 → 5 set. 2020

Serie de la publicación

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

Conferencia

Conferencia	27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
País/Territorio	Perú
Ciudad	Virtual, Lima
Período	3/09/20 → 5/09/20

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Publisher Copyright:
© 2020 IEEE.

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Mora-Huaman, D. A., Palomino Quispe, F., Coaquira-Castillo, R. J., & Clemente-Arenas, M. (2020). Distance to Object Estimation Based on Software Defined Radio USRP using Python. En Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 Artículo 9220252 (Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTERCON50315.2020.9220252

Mora-Huaman, Diego Armando ; Palomino Quispe, Facundo ; Coaquira-Castillo, Roger Jesus et al. / Distance to Object Estimation Based on Software Defined Radio USRP using Python. Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020).

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title = "Distance to Object Estimation Based on Software Defined Radio USRP using Python",

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. Raw signals processing from wall reflections was implemented in Python, and the distance estimation is presented on a spectrogram ",

keywords = "GNU Radio, radar FMCW, Software Defined Radio",

author = "Mora-Huaman, {Diego Armando} and {Palomino Quispe}, Facundo and Coaquira-Castillo, {Roger Jesus} and Mark Clemente-Arenas",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 ; Conference date: 03-09-2020 Through 05-09-2020",

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doi = "10.1109/INTERCON50315.2020.9220252",

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Mora-Huaman, DA, Palomino Quispe, F, Coaquira-Castillo, RJ & Clemente-Arenas, M 2020, Distance to Object Estimation Based on Software Defined Radio USRP using Python. En Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020., 9220252, Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020, Institute of Electrical and Electronics Engineers Inc., 27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020, Virtual, Lima, Perú, 3/09/20. https://doi.org/10.1109/INTERCON50315.2020.9220252

Distance to Object Estimation Based on Software Defined Radio USRP using Python. / Mora-Huaman, Diego Armando; Palomino Quispe, Facundo; Coaquira-Castillo, Roger Jesus et al.
Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9220252 (Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Distance to Object Estimation Based on Software Defined Radio USRP using Python

AU - Mora-Huaman, Diego Armando

AU - Palomino Quispe, Facundo

AU - Coaquira-Castillo, Roger Jesus

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AB - 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. Raw signals processing from wall reflections was implemented in Python, and the distance estimation is presented on a spectrogram

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Mora-Huaman DA, Palomino Quispe F, Coaquira-Castillo RJ, Clemente-Arenas M. Distance to Object Estimation Based on Software Defined Radio USRP using Python. En Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9220252. (Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020). doi: 10.1109/INTERCON50315.2020.9220252

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

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