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. Thesis (Master thesis), E.T.S.I. Telecomunicación (UPM).

Description

Title: Implementation of algorithms for radar real-time signals processing using a microprocessor based platform
Author/s:
  • Silva Gómez, Felipe Andrés
Contributor/s:
  • Araujo Pinto, Álvaro
Item Type: Thesis (Master thesis)
Masters title: Radar. Tecnologías, Equipos y Desarrollo de Sistemas
Date: 2015
Subjects:
Freetext Keywords: Radar, radar signal processing, real time operating systems (RTOS), embedded systems, Raspberry Pi, continuous wave radars, embedded systems, Doppler sensor
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - Non commercial - Share

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Abstract

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.

More information

Item ID: 49791
DC Identifier: http://oa.upm.es/49791/
OAI Identifier: oai:oa.upm.es:49791
Deposited by: Felipe Andrés Silva Gómez
Deposited on: 19 Mar 2018 06:46
Last Modified: 20 Sep 2018 22:30
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