TY  - JOUR
ID  - upm44795
UR  - http://www.mdpi.com/1424-8220/15/1/422
IS  - 1
A1  - López Rodríguez, Patricia
A1  - Escot Bocanegra, David
A1  - Fernández Recio, Raúl
A1  - Bravo Muñoz, Ignacio
Y1  - 2015///
N2  - 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.
PB  - MDPI
JF  - Sensors
VL  - 15
KW  - NCTI; ATR; range profiles; SVD; synthetic database; actual measurements
SN  - 1424-8220
TI  - Non-Cooperative target recognition by means of singular value decomposition applied to radar high resolution range profiles
SP  - 422
AV  - public
EP  - 439
ER  -