volume | PIER Journals

Abstract

Non-Cooperative Target Recognition (NCTR) of aircrafts from radar measurements is a formidable problem that has drawn the attention of engineers and scientists over the last years. NCTR techniques typically involve a database with a huge amount of information from different known targets and a reliable identification algorithm able to highlight the likeness between measured and stored data. This paper uses High Resolution Range Profiles produced with a high-frequency software tool to train Articial Neural Networks for distinguishing between different classes of aircrafts. Actual data from the ORFEO measurement campaign are used to assess the performance of the trained networks.

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Dr. Antonio Jurado-Lucena

Dr. Ignacio Montiel-Sanchez

Dr. David Escot-Bocanegra

Dr. Raul Fernandez-Recio

Dr. David Poyatos-Martınez