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

López Rodríguez, Patricia and Escot Bocanegra, David and Fernández Recio, Raúl and 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.

Description

Title: Non-Cooperative target recognition by means of singular value decomposition applied to radar high resolution range profiles
Author/s:
  • López Rodríguez, Patricia
  • Escot Bocanegra, David
  • Fernández Recio, Raúl
  • Bravo Muñoz, Ignacio
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 2015
ISSN: 1424-8220
Volume: 15
Subjects:
Freetext Keywords: NCTI; ATR; range profiles; SVD; synthetic database; actual measurements
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

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.

More information

Item ID: 44795
DC Identifier: http://oa.upm.es/44795/
OAI Identifier: oai:oa.upm.es:44795
DOI: 10.3390/s150100422
Official URL: http://www.mdpi.com/1424-8220/15/1/422
Deposited by: Memoria Investigacion
Deposited on: 24 Mar 2017 20:08
Last Modified: 24 Mar 2017 20:08
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