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

dc.creatorClemente Arenas, Mark Donny
dc.date.accessioned2021-12-21T01:47:56Z
dc.date.accessioned2023-06-02T16:41:16Z
dc.date.available2021-12-21T01:47:56Z
dc.date.available2023-06-02T16:41:16Z
dc.date.created2021-12-21T01:47:56Z
dc.date.issued2020
dc.identifierhttp://repositorio.untels.edu.pe//handle/123456789/663
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6595393
dc.description.abstractThe 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
dc.languageen
dc.publisherUniversidad Nacional Tecnológica de Lima Sur
dc.subjectradar FMCW, GNU Radio, Software Defined Radio.
dc.titleDistance to Object Estimation Based on Software Defined Radio USRP using Python
dc.typeArticle


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