Alumni

Julian Kanz was a doctoral researcher within KoRaTo from 2022 to 2025. His dissertation "System Concepts for Multistatic UAV-Borne Synthetic Aperture Radar” advances the state of UAV-borne radar imaging by introducing new architectures that enable coherent multistatic SAR operation with multiple UAVs. Through the development of a repeater-based approach, a digital receive-only concept, and a flexible OFDM-driven system, his work demonstrates for the first time that distributed UAV radar nodes can be synchronized well enough to produce high-quality monostatic and multistatic SAR images — marking an important step toward next-generation cooperative sensing networks.

Víctor Mustieles Pérez was a doctoral researcher within KoRaTo from 2022 to 2025. His dissertation, entitled “Drone-Based Ultra-Wideband SAR Interferometry for the Generation of Digital Elevation Models”, makes a significant contribution to the analysis and signal processing of drone-based ultra-wideband interferometric SAR systems and presents the first demonstration of the generation of very high quality digital elevation models using drone-based repeat-pass SAR interferometry.

Elena Sterk was a doctoral researcher within KoRaTo from 2022 to 2025. Her dissertation titled "Iterative Signal Recovery in Complex-Valued Distributed Compressed Sensing" proposes an efficient way to derive (non-linear) estimators for complex and distributed settings and introduces various powerful algorithms that are capable of solving complex-valued distributed compressed sensing problems. Furthermore, her work analyses the application of these algorithms in the radar processing chain of UAV-based SAR .