Low-Cost Radar-Based Target Identification Prototype using an Expert System

Pérez Daza, David; Villaverde San José, Mónica; Moreno González, Félix Antonio y Nogar, Noemí (2014). Low-Cost Radar-Based Target Identification Prototype using an Expert System. En: "12th IEEE International Conference on Industrial Informatics INDIN 2014", 27 Jul - 30 Jul 2014, Porto Alegre RS, Brazil. ISBN 978-1-4799-4905-2. pp. 54-59.

Descripción

Título: Low-Cost Radar-Based Target Identification Prototype using an Expert System
Autor/es:
  • Pérez Daza, David
  • Villaverde San José, Mónica
  • Moreno González, Félix Antonio
  • Nogar, Noemí
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 12th IEEE International Conference on Industrial Informatics INDIN 2014
Fechas del Evento: 27 Jul - 30 Jul 2014
Lugar del Evento: Porto Alegre RS, Brazil
Título del Libro: Proceedings 2014 12th IEEE International Conference on Industrial Informatics (INDIN)
Fecha: 2014
ISBN: 978-1-4799-4905-2
Materias:
Palabras Clave Informales: green cities; smart cities; street lighting; radar target identification; expert system; classification tree; artificial intelligence; machine learning.
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Smart and green cities are hot topics in current research because people are becoming more conscious about their impact on the environment and the sustainability of their cities as the population increases. Many researchers are searching for mechanisms that can reduce power consumption and pollution in the city environment. This paper addresses the issue of public lighting and how it can be improved in order to achieve a more energy efficient city. This work is focused on making the process of turning the streetlights on and off more intelligent so that they consume less power and cause less light pollution. The proposed solution is comprised of a radar device and an expert system implemented on a low-cost platform based on a DSP. By analyzing the radar echo in both the frequency and time domains, the system is able to detect and identify objects moving in front of it. This information is used to decide whether or not the streetlight should be turned on. Experimental results show that the proposed system can provide hit rates over 80%, promising a good performance. In addition, the proposed solution could be useful in kind of other applications such as intelligent security and surveillance systems and home automation.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaITP-2011-1977-9200INNPACTO- 2011Sin especificarSin especificar

Más información

ID de Registro: 37022
Identificador DC: http://oa.upm.es/37022/
Identificador OAI: oai:oa.upm.es:37022
URL Oficial: http://ieeexplore.ieee.org/abstract/document/6945483/
Depositado por: Memoria Investigacion
Depositado el: 03 Sep 2015 15:33
Ultima Modificación: 23 Feb 2017 17:35
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