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

Clemente Arenas, Mark Donny

dc.contributor.author	Clemente Arenas, Mark Donny
dc.date.accessioned	2021-12-21T01:47:56Z
dc.date.available	2021-12-21T01:47:56Z
dc.date.issued	2020
dc.identifier.uri	http://repositorio.untels.edu.pe//handle/123456789/663
dc.description.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	en
dc.language.iso	en	en
dc.publisher	Universidad Nacional Tecnológica de Lima Sur	en
dc.subject	radar FMCW, GNU Radio, Software Defined Radio.	en
dc.title	Distance to Object Estimation Based on Software Defined Radio USRP using Python	en
dc.type	Article	en