Non-cooperative target identification based on singular value decomposition

Hernán Vega, Olga and López Rodríguez, Patricia and Escot Bocanegra, David and Fernández Recio, Raúl and Bravo Muñoz, Ignacio (2015). Non-cooperative target identification based on singular value decomposition. In: "16th International Radar Symposium (IRS), 2015", 24/06/2015 - 26/06/2015, Dresden. ISBN 978-1-4799-7841-0. pp. 882-887. https://doi.org/10.1109/IRS.2015.7226279.

Description

Title: Non-cooperative target identification based on singular value decomposition
Author/s:
  • Hernán Vega, Olga
  • López Rodríguez, Patricia
  • Escot Bocanegra, David
  • Fernández Recio, Raúl
  • Bravo Muñoz, Ignacio
Item Type: Presentation at Congress or Conference (Article)
Event Title: 16th International Radar Symposium (IRS), 2015
Event Dates: 24/06/2015 - 26/06/2015
Event Location: Dresden
Title of Book: 2015 16th International Radar Symposium (IRS)
Date: 2015
ISBN: 978-1-4799-7841-0
Subjects:
Freetext Keywords: HRRP, NCTI, simulated/synthetic database, SVD.
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Matemática Aplicada a las Tecnologías de la Información y las Comunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Non-Cooperative Target Identification based on High Resolution Range Profiles is a key research domain in the Defense industry. In this paper a method based on the application of Singular Value Decomposition to a matrix of range profiles is defined. The decomposition is applied to reduce dimensionality and to accomplish recognition in the transformed domain. So as to confirm the feasibility of the methodology, identification experiments of profiles coming from electromagnetic simulations are conducted, revealing promising results.

More information

Item ID: 45050
DC Identifier: http://oa.upm.es/45050/
OAI Identifier: oai:oa.upm.es:45050
DOI: 10.1109/IRS.2015.7226279
Official URL: http://www.dgon-irs.org/index.php?id=89
Deposited by: Memoria Investigacion
Deposited on: 11 Apr 2017 17:15
Last Modified: 11 Apr 2017 17:15
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