Implementation of algorithms for radar real-time signals processing using a microprocessor based platform

Silva Gómez, Felipe Andrés (2015). Implementation of algorithms for radar real-time signals processing using a microprocessor based platform. Tesis (Master), E.T.S.I. Telecomunicación (UPM).

Descripción

Título: Implementation of algorithms for radar real-time signals processing using a microprocessor based platform
Autor/es:
  • Silva Gómez, Felipe Andrés
Director/es:
Tipo de Documento: Tesis (Master)
Título del máster: Radar. Tecnologías, Equipos y Desarrollo de Sistemas
Fecha: 2015
Materias:
ODS:
Palabras Clave Informales: Radar, radar signal processing, real time operating systems (RTOS), embedded systems, Raspberry Pi, continuous wave radars, embedded systems, Doppler sensor
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - No comercial - Compartir igual

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Resumen

Research in the field of radar technology had had the disadvantage of high costs, implying a difficult access. Nowadays it is possible to obtain low-cost modules for development as the sensor used in this project. Additionally, radar technology trends indicate a growing preference for digital technology and real-time processing. Digital technology nowadays has extended the use of free platforms both hardware and software. These platforms besides having low cost, has a large community of users working and actively developing solutions. In this project these trends are used to develop a system for detecting the presence and radial velocity. Using a Doppler sensor and an open hardware platform using a real-time operating system to guarantee determinism in response times. The radar module used is the MDU1100T from the manufacturer Microwave Solutions. The hardware platform for digital processing used is the Raspberry Pi computer and for guarantee software real-time support, Xenomai over Raspbian is used.

Más información

ID de Registro: 49791
Identificador DC: https://oa.upm.es/49791/
Identificador OAI: oai:oa.upm.es:49791
Depositado por: Felipe Andrés Silva Gómez
Depositado el: 19 Mar 2018 06:46
Ultima Modificación: 20 Sep 2018 22:30