The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
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Cet article propose une nouvelle technique de détection de fréquence Doppler maximale pour l'estimation de la vitesse de déplacement de l'utilisateur. La fréquence Doppler maximale est estimée dans la technique de détection proposée en utilisant le fait que la vitesse de déplacement de l'utilisateur n'est pas distribuée de manière continue. La fluctuation des informations d'état de canal au cours d'un paquet est appliquée pour la détection proposée, dans laquelle une estimation de vraisemblance est effectuée en comparant la fluctuation avec les seuils. Les seuils sont théoriquement calculés en supposant que la fluctuation est distribuée selon une fonction exponentielle. Une technique de détection approchée est proposée pour simplifier la dérivation du seuil théorique. Les performances de la détection proposée sont évaluées par simulation informatique. La détection proposée permet d'obtenir de meilleures performances de détection car les valeurs de fluctuation sont additionnées sur un plus grand nombre de paquets. La détection proposée atteint environ 90 % de performances de détection correctes dans un canal à évanouissement avec le Eb/N0 = 35 dB, lorsque les valeurs de fluctuation sont additionnées sur seulement trois paquets. De plus, la détection approchée permet également d'obtenir les mêmes performances de détection.
Satoshi DENNO
Okayama University
Kazuma HOTTA
Okayama University
Yafei HOU
Okayama University
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Satoshi DENNO, Kazuma HOTTA, Yafei HOU, "Maximum Doppler Frequency Detection Based on Likelihood Estimation With Theoretical Thresholds" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 5, pp. 657-664, May 2022, doi: 10.1587/transcom.2021EBP3075.
Abstract: This paper proposes a novel maximum Doppler frequency detection technique for user moving velocity estimation. The maximum Doppler frequency is estimated in the proposed detection technique by making use of the fact that user moving velocity is not distributed continuously. The fluctuation of the channel state information during a packet is applied for the proposed detection, in which likelihood estimation is performed by comparing the fluctuation with the thresholds. The thresholds are theoretically derived on the assumption that the fluctuation is distributed with an exponential function. An approximated detection technique is proposed to simplify the theoretical threshold derivation. The performance of the proposed detection is evaluated by computer simulation. The proposed detection accomplishes better detection performance as the fluctuation values are summed over more packets. The proposed detection achieves about 90% correct detection performance in a fading channel with the Eb/N0 = 35dB, when the fluctuation values are summed over only three packets. Furthermore, the approximated detection also achieves the same detection performance.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3075/_p
Copier
@ARTICLE{e105-b_5_657,
author={Satoshi DENNO, Kazuma HOTTA, Yafei HOU, },
journal={IEICE TRANSACTIONS on Communications},
title={Maximum Doppler Frequency Detection Based on Likelihood Estimation With Theoretical Thresholds},
year={2022},
volume={E105-B},
number={5},
pages={657-664},
abstract={This paper proposes a novel maximum Doppler frequency detection technique for user moving velocity estimation. The maximum Doppler frequency is estimated in the proposed detection technique by making use of the fact that user moving velocity is not distributed continuously. The fluctuation of the channel state information during a packet is applied for the proposed detection, in which likelihood estimation is performed by comparing the fluctuation with the thresholds. The thresholds are theoretically derived on the assumption that the fluctuation is distributed with an exponential function. An approximated detection technique is proposed to simplify the theoretical threshold derivation. The performance of the proposed detection is evaluated by computer simulation. The proposed detection accomplishes better detection performance as the fluctuation values are summed over more packets. The proposed detection achieves about 90% correct detection performance in a fading channel with the Eb/N0 = 35dB, when the fluctuation values are summed over only three packets. Furthermore, the approximated detection also achieves the same detection performance.},
keywords={},
doi={10.1587/transcom.2021EBP3075},
ISSN={1745-1345},
month={May},}
Copier
TY - JOUR
TI - Maximum Doppler Frequency Detection Based on Likelihood Estimation With Theoretical Thresholds
T2 - IEICE TRANSACTIONS on Communications
SP - 657
EP - 664
AU - Satoshi DENNO
AU - Kazuma HOTTA
AU - Yafei HOU
PY - 2022
DO - 10.1587/transcom.2021EBP3075
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2022
AB - This paper proposes a novel maximum Doppler frequency detection technique for user moving velocity estimation. The maximum Doppler frequency is estimated in the proposed detection technique by making use of the fact that user moving velocity is not distributed continuously. The fluctuation of the channel state information during a packet is applied for the proposed detection, in which likelihood estimation is performed by comparing the fluctuation with the thresholds. The thresholds are theoretically derived on the assumption that the fluctuation is distributed with an exponential function. An approximated detection technique is proposed to simplify the theoretical threshold derivation. The performance of the proposed detection is evaluated by computer simulation. The proposed detection accomplishes better detection performance as the fluctuation values are summed over more packets. The proposed detection achieves about 90% correct detection performance in a fading channel with the Eb/N0 = 35dB, when the fluctuation values are summed over only three packets. Furthermore, the approximated detection also achieves the same detection performance.
ER -