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About

Thorsten Schultze is a specialist in ultra-wideband (UWB) radar technology, with a focused research program centered on non-destructive material characterization, surface permittivity estimation, and advanced signal processing for security and robotics applications. His work addresses critical challenges in hostile or pathless environments where traditional sensing methods fail. Schultze’s most impactful contribution is a novel, nondestructive technique for in-situ estimation of material characteristics using UWB radar, which provides high range resolution for both ranging and material analysis (7 citations). He further advanced the field by developing an enhanced super-resolution wavefront extraction algorithm—the ADCM—which merges the efficiency of correlation techniques with the precision of super-resolution methods (4 citations). His research also includes diffraction simulations for dielectric edges, improving millimeter-wave surface characterization (3 citations), and early work on integrating UWB material characterization with object recognition for security robots (2 citations). Through these innovations, Schultze has laid foundational groundwork for autonomous systems that can identify and analyze objects in real-time, even in cluttered or inaccessible settings.