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Results on Super-Resolution and Target Identification Techniques from the SPERI Project

: Brüggenwirth, Stefan; Wagner, Simon; Bieker, Tanja; Battisti, Nicola; Rispoli, Vincenzo; Greco, Mario; Pinelli, Gianpaolo; Cataldo, Davide; Martorella, Marco


IEEE aerospace and electronic systems magazine 36 (2021), Nr.3, S.24-35
ISSN: 0885-8985
Fraunhofer FHR ()

We give an overview of the EDA CAT B R&D project “Signal Processing for Enhanced Radar Imaging” (SPERI). In this project, the benefits of applying two super-resolution methods Super Spatially Variant Apodization (SSVA) and Compressed Sensing (CS) to two-dimensional Inverse Synthetic Aperture Radar (ISAR) images of airborne radar targets were investigated with respect to the improvements in automatic target identification rates. The algorithms have been tested over a database of more than 1200 real radar images.