Journal
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
Volume 15, Issue -, Pages 2503-2518Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTARS.2022.3158661
Keywords
Human recognition radar; micro-Doppler analysis; millimeter wave (MMW) radar; pulse-Doppler radar; radar signal processing
Categories
Funding
- JST, PRESTO [JPMJPR1771]
- JST FOREST Program, Japan [JPMJFR2025]
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This study presents a highly accurate range and Doppler-velocity extraction scheme for millimeter-wave short-range sensing. By introducing Doppler velocity and k-space decomposition, the proposed method significantly improves range resolution and reduces computational complexity.
This study presents a highly accurate range and Doppler-velocity extraction scheme for millimeter-wave (MMW) short-range sensing using the Doppler-velocity and k-space decomposition in a weighted kernel density (WKD) scheme. The WKD method has been developed as one of the mast promising micro-Doppler analysis methods for human motion; however, an original WKD method requires a highly decomposed range profile to achieve its maximum performance. As the main contribution of this article, the proposed method introduces the Doppler velocity and k-space decomposition via the 4-D fast Fourier-transform process, which significantly improves the range resolution and reduces computational complexity. The numerical and experimental results show that the proposed method achieves significantly higher range and velocity accuracy and resolution, as well as higher noise-robustness at a lower computational cost.
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