Tetsuo Kirimoto
Papers
6
Total Citations
26
H-Index
4
About
Tetsuo Kirimoto is a radar systems researcher whose work centers on ultra-wideband (UWB) radar imaging, signal processing, and near-field sensing technologies. His research has made meaningful contributions to the development of advanced imaging algorithms designed for challenging, optically degraded environments — such as disaster zones filled with smoke, dust, or strong backlighting — where conventional optical sensors fail entirely. Kirimoto is perhaps best known for pioneering and extending the Range Point Migration (RPM) imaging framework, a highly accurate and computationally efficient algorithm for reconstructing radar images. His work has progressively expanded RPM to handle curvilinear scanning geometries, multi-static radar configurations, moving targets with arbitrary shapes and motions, full polarimetric data, and three-dimensional scene reconstruction. These advances make UWB radar increasingly viable as a practical sensing solution for rescue robots operating in disaster scenarios. Across his most-cited publications — accumulating citations in imaging, motion estimation, and multi-static approaches — Kirimoto has demonstrated a systematic effort to push UWB radar from theoretical promise toward deployable robotic and security sensor systems. His body of work represents a coherent research program bridging electromagnetic theory, signal processing, and real-world humanitarian applications, offering students a strong foundation in next-generation radar sensing methodologies.
Research Focus
Key Achievements
Top Papers
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