Accurate Micro-Doppler Analysis by Doppler and <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-Space Decomposition for Millimeter Wave Short-Range Radar
This study presents a highly accurate range and Doppler-velocity extraction scheme for millimeter-wave (MMW) short-range sensing using the Doppler-velocity and <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-space decomposition in a weight...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9733237/ |
| _version_ | 1824042579529826304 |
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| author | Takeru Ando Shouhei Kidera |
| author_facet | Takeru Ando Shouhei Kidera |
| author_sort | Takeru Ando |
| collection | DOAJ |
| description | This study presents a highly accurate range and Doppler-velocity extraction scheme for millimeter-wave (MMW) short-range sensing using the Doppler-velocity and <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-space decomposition in a weighted kernel density (WKD) scheme. The WKD method has been developed as one of the most 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. |
| first_indexed | 2024-12-22T23:44:02Z |
| format | Article |
| id | doaj.art-018436328d3f438eba89384ffb20868e |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-22T23:44:02Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-018436328d3f438eba89384ffb20868e2022-12-21T18:08:19ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352022-01-01152503251810.1109/JSTARS.2022.31586619733237Accurate Micro-Doppler Analysis by Doppler and <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-Space Decomposition for Millimeter Wave Short-Range RadarTakeru Ando0Shouhei Kidera1https://orcid.org/0000-0002-2993-5649Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, JapanGraduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, JapanThis study presents a highly accurate range and Doppler-velocity extraction scheme for millimeter-wave (MMW) short-range sensing using the Doppler-velocity and <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-space decomposition in a weighted kernel density (WKD) scheme. The WKD method has been developed as one of the most 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.https://ieeexplore.ieee.org/document/9733237/Human recognition radarmicro-Doppler analysismillimeter wave (MMW) radarpulse-Doppler radarradar signal processing |
| spellingShingle | Takeru Ando Shouhei Kidera Accurate Micro-Doppler Analysis by Doppler and <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-Space Decomposition for Millimeter Wave Short-Range Radar IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Human recognition radar micro-Doppler analysis millimeter wave (MMW) radar pulse-Doppler radar radar signal processing |
| title | Accurate Micro-Doppler Analysis by Doppler and <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-Space Decomposition for Millimeter Wave Short-Range Radar |
| title_full | Accurate Micro-Doppler Analysis by Doppler and <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-Space Decomposition for Millimeter Wave Short-Range Radar |
| title_fullStr | Accurate Micro-Doppler Analysis by Doppler and <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-Space Decomposition for Millimeter Wave Short-Range Radar |
| title_full_unstemmed | Accurate Micro-Doppler Analysis by Doppler and <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-Space Decomposition for Millimeter Wave Short-Range Radar |
| title_short | Accurate Micro-Doppler Analysis by Doppler and <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-Space Decomposition for Millimeter Wave Short-Range Radar |
| title_sort | accurate micro doppler analysis by doppler and inline formula tex math notation latex k tex math inline formula space decomposition for millimeter wave short range radar |
| topic | Human recognition radar micro-Doppler analysis millimeter wave (MMW) radar pulse-Doppler radar radar signal processing |
| url | https://ieeexplore.ieee.org/document/9733237/ |
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