This paper proposes a method for cooperative multi-static Multiple Input Multiple Output (MIMO) radar that can estimate the number of targets. The purpose of this system is to monitor humans in an indoor environment. First, target positions within the estimation range are roughly detected by the Capon method and the mode vector corresponding to the detected positions is calculated. The mode vector is multiplied by the eigenvector to eliminate the virtual image. The spectrum of the evaluation function is calculated from the remaining positions, and the number of peaks in the spectrum is defined as the number of targets. Experiments carried out in an indoor environment confirm that the proposed method can estimate the number of targets with high accuracy.
Nobuyuki SHIRAKI
Iwate University
Naoki HONMA
Iwate University
Kentaro MURATA
Iwate University
Takeshi NAKAYAMA
Panasonic Corporation
Shoichi IIZUKA
Panasonic Corporation
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Nobuyuki SHIRAKI, Naoki HONMA, Kentaro MURATA, Takeshi NAKAYAMA, Shoichi IIZUKA, "Estimation Method of the Number of Targets Using Cooperative Multi-Static MIMO Radar" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 12, pp. 1539-1546, December 2021, doi: 10.1587/transcom.2020EBP3151.
Abstract: This paper proposes a method for cooperative multi-static Multiple Input Multiple Output (MIMO) radar that can estimate the number of targets. The purpose of this system is to monitor humans in an indoor environment. First, target positions within the estimation range are roughly detected by the Capon method and the mode vector corresponding to the detected positions is calculated. The mode vector is multiplied by the eigenvector to eliminate the virtual image. The spectrum of the evaluation function is calculated from the remaining positions, and the number of peaks in the spectrum is defined as the number of targets. Experiments carried out in an indoor environment confirm that the proposed method can estimate the number of targets with high accuracy.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBP3151/_p
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@ARTICLE{e104-b_12_1539,
author={Nobuyuki SHIRAKI, Naoki HONMA, Kentaro MURATA, Takeshi NAKAYAMA, Shoichi IIZUKA, },
journal={IEICE TRANSACTIONS on Communications},
title={Estimation Method of the Number of Targets Using Cooperative Multi-Static MIMO Radar},
year={2021},
volume={E104-B},
number={12},
pages={1539-1546},
abstract={This paper proposes a method for cooperative multi-static Multiple Input Multiple Output (MIMO) radar that can estimate the number of targets. The purpose of this system is to monitor humans in an indoor environment. First, target positions within the estimation range are roughly detected by the Capon method and the mode vector corresponding to the detected positions is calculated. The mode vector is multiplied by the eigenvector to eliminate the virtual image. The spectrum of the evaluation function is calculated from the remaining positions, and the number of peaks in the spectrum is defined as the number of targets. Experiments carried out in an indoor environment confirm that the proposed method can estimate the number of targets with high accuracy.},
keywords={},
doi={10.1587/transcom.2020EBP3151},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - Estimation Method of the Number of Targets Using Cooperative Multi-Static MIMO Radar
T2 - IEICE TRANSACTIONS on Communications
SP - 1539
EP - 1546
AU - Nobuyuki SHIRAKI
AU - Naoki HONMA
AU - Kentaro MURATA
AU - Takeshi NAKAYAMA
AU - Shoichi IIZUKA
PY - 2021
DO - 10.1587/transcom.2020EBP3151
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2021
AB - This paper proposes a method for cooperative multi-static Multiple Input Multiple Output (MIMO) radar that can estimate the number of targets. The purpose of this system is to monitor humans in an indoor environment. First, target positions within the estimation range are roughly detected by the Capon method and the mode vector corresponding to the detected positions is calculated. The mode vector is multiplied by the eigenvector to eliminate the virtual image. The spectrum of the evaluation function is calculated from the remaining positions, and the number of peaks in the spectrum is defined as the number of targets. Experiments carried out in an indoor environment confirm that the proposed method can estimate the number of targets with high accuracy.
ER -