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

Por favor, use este identificador para citar o enlazar este ítem: https://repositorio.untels.edu.pe/jspui/handle/123456789/663

Registro completo de metadatos

Campo DC	Valor	Lengua/Idioma
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
Aparece en las colecciones:	Publicaciones

Ficheros en este ítem:

Fichero	Descripción	Tamaño	Formato
Distance_to_Object_Estimation_Based_on_Software_Defined_Radio_USRP_using_Python (1).pdf		357,92 kB	Adobe PDF	Visualizar/Abrir

DSpace JSPUI