Title
Distance to Object Estimation Based on Software Defined Radio USRP using Python
Date Issued
01 September 2020
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
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
Language
English
OCDE Knowledge area
Ciencias de la computación
Ingeniería eléctrica, Ingeniería electrónica
Ingeniería de sistemas y comunicaciones
Subjects
Scopus EID
2-s2.0-85095443677
Resource of which it is part
Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
ISBN of the container
9781728193779
Conference
Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
Sources of information:
Directorio de Producción Científica
Scopus