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Sensors 2015, 15(1), 422-439; doi:10.3390/s150100422

Non-Cooperative Target Recognition by Means of Singular Value Decomposition Applied to Radar High Resolution Range Profiles

1
Detectability and Electronic Warfare Laboratory, INTA, Torrejón de Ardoz, Madrid 28850, Spain
2
Department of Applied Mathematics to the Telecommunication Technical Engineering, Polytechnic University of Madrid, Madrid 28031, Spain
3
Electronics Department, University of Alcalá, Alcalá de Henares, Madrid 28871, Spain
This paper is an extended version of our paper published in Singular Value Decomposition Applied to Automatic Target Recognition with High Resolution Range Profiles. In Proceedings of the 1st International Electronic Conference on Sensors Applications, 1–16 June 2014.
*
Author to whom correspondence should be addressed.
Received: 11 September 2014 / Accepted: 22 December 2014 / Published: 29 December 2014
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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. View Full-Text
Keywords: NCTI; ATR; range profiles; SVD; synthetic database; actual measurements NCTI; ATR; range profiles; SVD; synthetic database; actual measurements
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

López-Rodríguez, P.; Escot-Bocanegra, D.; Fernández-Recio, R.; Bravo, I. Non-Cooperative Target Recognition by Means of Singular Value Decomposition Applied to Radar High Resolution Range Profiles. Sensors 2015, 15, 422-439.

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