Takuya Sakamoto
Kyoto University of Education, Kyoto University, Komatsu (Japan)
Papers
14
Total Citations
347
H-Index
7
About
Takuya Sakamoto is a radar systems researcher whose work has significantly advanced the field of ultra-wideband (UWB) pulse radar imaging, with particular focus on autonomous robotics, through-the-wall sensing, and non-destructive testing applications. He is best known for developing the SEABED (Shape Estimation Algorithm based on BST and Extraction of Directly scattered waves) framework, which leverages the Boundary Scattering Transform (BST) to solve the notoriously ill-posed inverse problem of reconstructing target shapes from radar waveform data. His landmark 2004 paper introducing this algorithm has accumulated 109 citations, establishing it as a foundational contribution to the field. Sakamoto subsequently extended these methods into three-dimensional imaging, proposing fast and robust algorithms that replaced computationally expensive approaches like synthetic aperture radar processing. His 2007 work on 3D UWB imaging (58 citations) and envelope-of-circles methods (54 citations) demonstrated both speed and resilience to noise. He further applied these techniques to through-the-wall radar imaging for disaster rescue scenarios, and to autonomous mobile robot navigation. With cumulative citations exceeding 330, Sakamoto's body of work has proven highly influential in bridging theoretical radar signal processing with practical, real-world sensing and localization systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Fast Algorithm for 3-Dimensional Imaging with UWB Pulse Radar Systems58 citations · 2007
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- 5A phase compensation algorithm for high-resolution pulse radar systems33 citations · 2004
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