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                                       Details for article 4 of 8 found articles
 
 
  Ground Radar Target Classification Using Singular Value Decomposition and Multilayer Perceptron
 
 
Title: Ground Radar Target Classification Using Singular Value Decomposition and Multilayer Perceptron
Author: Z. Matousek
J. Kurty
I. Mokris
Appeared in: Radioengineering
Paging: Volume 10 (2001) nr. 4 pages 36-40
Year: 2001
Contents: The paper deals with classification of ground radar targets. Areceived radar signal backscattered from a ground radar target wasdigitized and in the form of radar signal matrix utilized for a featureextraction based on Singular Value Decomposition. Furthermore, singularvalues of a backscattered radar signal matrix, as a target feature,were utilized for Radar Target Classification by multilayer perceptron.In the learning phase of a multilayer perceptron we used the learningtarget set and in the testing phase the testing target set was used.The learning and testing target sets were created on the basis of realground radar targets.
Publisher: Spolecnost pro radioelektronicke inzenyrstvi (provided by DOAJ)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 4 of 8 found articles
 
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