Brüggenwirth, StefanStefanBrüggenwirthWagner, SimonSimonWagnerBieker, TanjaTanjaBiekerBattisti, NicolaNicolaBattistiRispoli, VincenzoVincenzoRispoliGreco, MarioMarioGrecoPinelli, GianpaoloGianpaoloPinelliCataldo, DavideDavideCataldoMartorella, MarcoMarcoMartorella2022-03-062022-03-062021https://publica.fraunhofer.de/handle/publica/26840210.1109/MAES.2020.3039849We 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.en621journal article