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

Pérez Daza, David and Villaverde San José, Mónica and Moreno González, Félix Antonio and Nogar, Noemí (2014). Low-Cost Radar-Based Target Identification Prototype using an Expert System. In: "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.

Description

Title: Low-Cost Radar-Based Target Identification Prototype using an Expert System
Author/s:
  • Pérez Daza, David
  • Villaverde San José, Mónica
  • Moreno González, Félix Antonio
  • Nogar, Noemí
Item Type: Presentation at Congress or Conference (Article)
Event Title: 12th IEEE International Conference on Industrial Informatics INDIN 2014
Event Dates: 27 Jul - 30 Jul 2014
Event Location: Porto Alegre RS, Brazil
Title of Book: Proceedings 2014 12th IEEE International Conference on Industrial Informatics (INDIN)
Date: 2014
ISBN: 978-1-4799-4905-2
Subjects:
Freetext Keywords: green cities; smart cities; street lighting; radar target identification; expert system; classification tree; artificial intelligence; machine learning.
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainITP-2011-1977-9200INNPACTO- 2011UnspecifiedUnspecified

More information

Item ID: 37022
DC Identifier: http://oa.upm.es/37022/
OAI Identifier: oai:oa.upm.es:37022
Official URL: http://ieeexplore.ieee.org/abstract/document/6945483/
Deposited by: Memoria Investigacion
Deposited on: 03 Sep 2015 15:33
Last Modified: 23 Feb 2017 17:35
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