Paper Abstract and Keywords |
Presentation |
2021-07-28 13:05
Doppler and k-space Decomposed Super-Resolution Micro-Doppler Velocity Analysis with Weighted Kernel Density Estimator for Millimeter Wave Radar Takeru Ando, Shouhei Kidera (UEC) AP2021-28 SANE2021-18 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Super-resolution micro-Doppler-velocity analysis based on the weighted kernel density (WKD) method is presented for short-range millimeter wave (MMW) radar. The original WKD method can resolve a trade-off problem between temporal and Doppler-velocity resolutions, which is inherent in the traditional coherent integration based methods. However, the original WKD still suffers from inaccuracy in the case of lower bandwidth MMW signal, because of interference reflections from multiple parts of human body. To address with this issue, this paper newly integrates the k-space and the Doppler-velocity space decomposition into the WKD framework. The numerical simulation of a 3-D simplified human model demonstrate that the proposed method enhances the range and velocity accuracy and resolution with lower complexity. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Millimeter wave radar (MMW) / Radar signal processing / Micro-Doppler analysis / Human body recognition radar / Pulse Doppler radar / WKD (Weighted Kernel Density) / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 126, AP2021-28, pp. 25-30, July 2021. |
Paper # |
AP2021-28 |
Date of Issue |
2021-07-21 (AP, SANE) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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AP2021-28 SANE2021-18 |
Conference Information |
Committee |
AP SANE SAT |
Conference Date |
2021-07-28 - 2021-07-30 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Remote sensing, Sattelite Communication, Radio propagation, Antennas and Propagation |
Paper Information |
Registration To |
AP |
Conference Code |
2021-07-AP-SANE-SAT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Doppler and k-space Decomposed Super-Resolution Micro-Doppler Velocity Analysis with Weighted Kernel Density Estimator for Millimeter Wave Radar |
Sub Title (in English) |
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Keyword(1) |
Millimeter wave radar (MMW) |
Keyword(2) |
Radar signal processing |
Keyword(3) |
Micro-Doppler analysis |
Keyword(4) |
Human body recognition radar |
Keyword(5) |
Pulse Doppler radar |
Keyword(6) |
WKD (Weighted Kernel Density) |
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Keyword(8) |
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1st Author's Name |
Takeru Ando |
1st Author's Affiliation |
The University of Electro-Communications Graduate School (UEC) |
2nd Author's Name |
Shouhei Kidera |
2nd Author's Affiliation |
The University of Electro-Communications Graduate School (UEC) |
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Speaker |
Author-1 |
Date Time |
2021-07-28 13:05:00 |
Presentation Time |
25 minutes |
Registration for |
AP |
Paper # |
AP2021-28, SANE2021-18 |
Volume (vol) |
vol.121 |
Number (no) |
no.126(AP), no.127(SANE) |
Page |
pp.25-30(AP), pp.18-23(SANE) |
#Pages |
6 |
Date of Issue |
2021-07-21 (AP, SANE) |
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