Guha, SanhitaSanhitaGuhaDatcu, Mihai P.Mihai P.DatcuEnder, JoachimJoachimEnder2023-07-122023-07-122022https://publica.fraunhofer.de/handle/publica/44552710.1109/IGARSS46834.2022.98845352-s2.0-85140382725The resolution requirements of modern radar applications are increasing rapidly and cannot be fulfilled by the limited number of wide-band radar systems. Many approaches have been explored to solve this problem under the topic of super-resolution. In this paper, we propose a hybrid algorithm for resolution improvement, where we aim to combine the adaptability of deep neural networks with the reliability and expertise of traditional domain-specific SAR processing.enAlgorithm UnrollingApproximated ObservationHigh resolution radarHybrid Approaches to Super-resolutionISTALearned ISTASAR Super-resolutionconference paper