IEICE TRANSACTIONS on Communications
Accurate Doppler Velocity Estimation by Iterative WKD Algorithm for Pulse-Doppler Radar
Summary :
In this study, we propose an accurate range-Doppler analysis algorithm for moving multiple objects in a short range using microwave (including millimeter wave) radars. As a promising Doppler analysis for the above model, we previously proposed a weighted kernel density (WKD) estimator algorithm, which overcomes several disadvantages in coherent integration based methods, such as a trade-off between temporal and frequency resolutions. However, in handling multiple objects like human body, it is difficult to maintain the accuracy of the Doppler velocity estimation, because there are multiple responses from multiple parts of object, like human body, incurring inaccuracies in range or Doppler velocity estimation. To address this issue, we propose an iterative algorithm by exploiting an output of the WKD algorithm. Three-dimensional numerical analysis, assuming a human body model in motion, and experimental tests demonstrate that the proposed algorithm provides more accurate, high-resolution range-Doppler velocity profiles than the original WKD algorithm, without increasing computational complexity. Particularly, the simulation results show that the cumulative probabilities of range errors within 10mm, and Doppler velocity error within 0.1m/s are enhanced from 34% (by the former method) to 63% (by the proposed method).
- Publication
- IEICE TRANSACTIONS on Communications Vol.E105-B No.12 pp.1600-1613
- Publication Date
- 2022/12/01
- Publicized
- 2022/06/29
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2022EBP3040
- Type of Manuscript
- PAPER
- Category
- Sensing
Authors
Takumi HAYASHI
University of Electro-Communications
Takeru ANDO
University of Electro-Communications
Shouhei KIDERA
University of Electro-Communications
Keyword
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Takumi HAYASHI, Takeru ANDO, Shouhei KIDERA, "Accurate Doppler Velocity Estimation by Iterative WKD Algorithm for Pulse-Doppler Radar" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 12, pp. 1600-1613, December 2022, doi: 10.1587/transcom.2022EBP3040.
Abstract: In this study, we propose an accurate range-Doppler analysis algorithm for moving multiple objects in a short range using microwave (including millimeter wave) radars. As a promising Doppler analysis for the above model, we previously proposed a weighted kernel density (WKD) estimator algorithm, which overcomes several disadvantages in coherent integration based methods, such as a trade-off between temporal and frequency resolutions. However, in handling multiple objects like human body, it is difficult to maintain the accuracy of the Doppler velocity estimation, because there are multiple responses from multiple parts of object, like human body, incurring inaccuracies in range or Doppler velocity estimation. To address this issue, we propose an iterative algorithm by exploiting an output of the WKD algorithm. Three-dimensional numerical analysis, assuming a human body model in motion, and experimental tests demonstrate that the proposed algorithm provides more accurate, high-resolution range-Doppler velocity profiles than the original WKD algorithm, without increasing computational complexity. Particularly, the simulation results show that the cumulative probabilities of range errors within 10mm, and Doppler velocity error within 0.1m/s are enhanced from 34% (by the former method) to 63% (by the proposed method).
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2022EBP3040/_p
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@ARTICLE{e105-b_12_1600,
author={Takumi HAYASHI, Takeru ANDO, Shouhei KIDERA, },
journal={IEICE TRANSACTIONS on Communications},
title={Accurate Doppler Velocity Estimation by Iterative WKD Algorithm for Pulse-Doppler Radar},
year={2022},
volume={E105-B},
number={12},
pages={1600-1613},
abstract={In this study, we propose an accurate range-Doppler analysis algorithm for moving multiple objects in a short range using microwave (including millimeter wave) radars. As a promising Doppler analysis for the above model, we previously proposed a weighted kernel density (WKD) estimator algorithm, which overcomes several disadvantages in coherent integration based methods, such as a trade-off between temporal and frequency resolutions. However, in handling multiple objects like human body, it is difficult to maintain the accuracy of the Doppler velocity estimation, because there are multiple responses from multiple parts of object, like human body, incurring inaccuracies in range or Doppler velocity estimation. To address this issue, we propose an iterative algorithm by exploiting an output of the WKD algorithm. Three-dimensional numerical analysis, assuming a human body model in motion, and experimental tests demonstrate that the proposed algorithm provides more accurate, high-resolution range-Doppler velocity profiles than the original WKD algorithm, without increasing computational complexity. Particularly, the simulation results show that the cumulative probabilities of range errors within 10mm, and Doppler velocity error within 0.1m/s are enhanced from 34% (by the former method) to 63% (by the proposed method).},
keywords={},
doi={10.1587/transcom.2022EBP3040},
ISSN={1745-1345},
month={December},}
Copy
TY - JOUR
TI - Accurate Doppler Velocity Estimation by Iterative WKD Algorithm for Pulse-Doppler Radar
T2 - IEICE TRANSACTIONS on Communications
SP - 1600
EP - 1613
AU - Takumi HAYASHI
AU - Takeru ANDO
AU - Shouhei KIDERA
PY - 2022
DO - 10.1587/transcom.2022EBP3040
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2022
AB - In this study, we propose an accurate range-Doppler analysis algorithm for moving multiple objects in a short range using microwave (including millimeter wave) radars. As a promising Doppler analysis for the above model, we previously proposed a weighted kernel density (WKD) estimator algorithm, which overcomes several disadvantages in coherent integration based methods, such as a trade-off between temporal and frequency resolutions. However, in handling multiple objects like human body, it is difficult to maintain the accuracy of the Doppler velocity estimation, because there are multiple responses from multiple parts of object, like human body, incurring inaccuracies in range or Doppler velocity estimation. To address this issue, we propose an iterative algorithm by exploiting an output of the WKD algorithm. Three-dimensional numerical analysis, assuming a human body model in motion, and experimental tests demonstrate that the proposed algorithm provides more accurate, high-resolution range-Doppler velocity profiles than the original WKD algorithm, without increasing computational complexity. Particularly, the simulation results show that the cumulative probabilities of range errors within 10mm, and Doppler velocity error within 0.1m/s are enhanced from 34% (by the former method) to 63% (by the proposed method).
ER -
English
