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
Cet article traite de l'estimation conjointe de la fréquence et de la direction d'arrivée (DOA), dans la condition relâchée que les instantanés dans le domaine temporel et les capteurs dans le domaine spatial soient peu espacés. Plus précisément, un nouveau réseau clairsemé coprime permettant une large plage d'espacements entre éléments est utilisé dans le schéma de joint proposé, ce qui atténue considérablement la contrainte de demi-longueur d'onde du réseau conventionnel. De plus, en incorporant une correction spectrale DFT de petite taille au théorème du reste chinois (CRT) robuste de forme fermée, le crénelage spectral et l'ambiguïté de phase entière causée par le sous-échantillonnage spatio-temporel peuvent être supprimés de manière efficace. En conséquence, ces deux paramètres peuvent être estimés efficacement en réutilisant les données d’observation collectées en parallèle à différents taux de sous-échantillonnage, ce qui améliore considérablement l’utilisation des données. Les résultats numériques démontrent que le schéma conjoint proposé est très précis.
Xiangdong HUANG
Tianjin University
Mengkai YANG
Tianjin University
Mingzhuo LIU
Tianjin University
Lin YANG
Tianjin University
Haipeng FU
Tianjin University
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Xiangdong HUANG, Mengkai YANG, Mingzhuo LIU, Lin YANG, Haipeng FU, "Joint Estimation of Frequency and DOA with Spatio-Temporal Sub-Nyquist Sampling Based on Spectrum Correction and Chinese Remainder Theorem" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 9, pp. 2007-2016, September 2018, doi: 10.1587/transcom.2017EBP3437.
Abstract: This paper addresses joint estimation of the frequency and the direction-of-arrival (DOA), under the relaxed condition that both snapshots in the temporal domain and sensors in the spacial domain are sparsely spaced. Specifically, a novel coprime sparse array allowing a large range for interelement spacings is employed in the proposed joint scheme, which greatly alleviates the conventional array's half-wavelength constraint. Further, by incorporating small-sized DFT spectrum correction with the closed-form robust Chinese Remainder Theorem (CRT), both spectral aliasing and integer phase ambiguity caused by spatio-temporal under-sampling can be removed in an efficient way. As a result, these two parameters can be efficiently estimated by reusing the observation data collected in parallel at different undersampling rates, which remarkably improves the data utilization. Numerical results demonstrate that the proposed joint scheme is highly accurate.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3437/_p
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@ARTICLE{e101-b_9_2007,
author={Xiangdong HUANG, Mengkai YANG, Mingzhuo LIU, Lin YANG, Haipeng FU, },
journal={IEICE TRANSACTIONS on Communications},
title={Joint Estimation of Frequency and DOA with Spatio-Temporal Sub-Nyquist Sampling Based on Spectrum Correction and Chinese Remainder Theorem},
year={2018},
volume={E101-B},
number={9},
pages={2007-2016},
abstract={This paper addresses joint estimation of the frequency and the direction-of-arrival (DOA), under the relaxed condition that both snapshots in the temporal domain and sensors in the spacial domain are sparsely spaced. Specifically, a novel coprime sparse array allowing a large range for interelement spacings is employed in the proposed joint scheme, which greatly alleviates the conventional array's half-wavelength constraint. Further, by incorporating small-sized DFT spectrum correction with the closed-form robust Chinese Remainder Theorem (CRT), both spectral aliasing and integer phase ambiguity caused by spatio-temporal under-sampling can be removed in an efficient way. As a result, these two parameters can be efficiently estimated by reusing the observation data collected in parallel at different undersampling rates, which remarkably improves the data utilization. Numerical results demonstrate that the proposed joint scheme is highly accurate.},
keywords={},
doi={10.1587/transcom.2017EBP3437},
ISSN={1745-1345},
month={September},}
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TY - JOUR
TI - Joint Estimation of Frequency and DOA with Spatio-Temporal Sub-Nyquist Sampling Based on Spectrum Correction and Chinese Remainder Theorem
T2 - IEICE TRANSACTIONS on Communications
SP - 2007
EP - 2016
AU - Xiangdong HUANG
AU - Mengkai YANG
AU - Mingzhuo LIU
AU - Lin YANG
AU - Haipeng FU
PY - 2018
DO - 10.1587/transcom.2017EBP3437
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2018
AB - This paper addresses joint estimation of the frequency and the direction-of-arrival (DOA), under the relaxed condition that both snapshots in the temporal domain and sensors in the spacial domain are sparsely spaced. Specifically, a novel coprime sparse array allowing a large range for interelement spacings is employed in the proposed joint scheme, which greatly alleviates the conventional array's half-wavelength constraint. Further, by incorporating small-sized DFT spectrum correction with the closed-form robust Chinese Remainder Theorem (CRT), both spectral aliasing and integer phase ambiguity caused by spatio-temporal under-sampling can be removed in an efficient way. As a result, these two parameters can be efficiently estimated by reusing the observation data collected in parallel at different undersampling rates, which remarkably improves the data utilization. Numerical results demonstrate that the proposed joint scheme is highly accurate.
ER -