Non-Cooperative target recognition by means of singular value decomposition applied to radar high resolution range profiles

López Rodríguez, Patricia; Escot Bocanegra, David; Fernández Recio, Raúl y Bravo Muñoz, Ignacio (2015). Non-Cooperative target recognition by means of singular value decomposition applied to radar high resolution range profiles. "Sensors", v. 15 (n. 1); pp. 422-439. ISSN 1424-8220. https://doi.org/10.3390/s150100422.

Descripción

Título: Non-Cooperative target recognition by means of singular value decomposition applied to radar high resolution range profiles
Autor/es:
  • López Rodríguez, Patricia
  • Escot Bocanegra, David
  • Fernández Recio, Raúl
  • Bravo Muñoz, Ignacio
Tipo de Documento: Artículo
Título de Revista/Publicación: Sensors
Fecha: 2015
Volumen: 15
Materias:
Palabras Clave Informales: NCTI; ATR; range profiles; SVD; synthetic database; actual measurements
Escuela: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Departamento: Matemática Aplicada a las Tecnologías de la Información y las Comunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Radar high resolution range profiles are widely used among the target recognition community for the detection and identification of flying targets. In this paper, singular value decomposition is applied to extract the relevant information and to model each aircraft as a subspace. The identification algorithm is based on angle between subspaces and takes place in a transformed domain. In order to have a wide database of radar signatures and evaluate the performance, simulated range profiles are used as the recognition database while the test samples comprise data of actual range profiles collected in a measurement campaign. Thanks to the modeling of aircraft as subspaces only the valuable information of each target is used in the recognition process. Thus, one of the main advantages of using singular value decomposition, is that it helps to overcome the notable dissimilarities found in the shape and signal-to-noise ratio between actual and simulated profiles due to their difference in nature. Despite these differences, the recognition rates obtained with the algorithm are quite promising.

Más información

ID de Registro: 44795
Identificador DC: http://oa.upm.es/44795/
Identificador OAI: oai:oa.upm.es:44795
Identificador DOI: 10.3390/s150100422
URL Oficial: http://www.mdpi.com/1424-8220/15/1/422
Depositado por: Memoria Investigacion
Depositado el: 24 Mar 2017 20:08
Ultima Modificación: 24 Mar 2017 20:08
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