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
Comme nous le savons tous, le réseau co-premier (LCA) en forme de L est une structure de réseau clairsemée bidimensionnelle (2D) récemment introduite, qui est une extension du réseau co-premier linéaire (CA). Une telle géométrie de réseau clairsemée peut être utilisée pour l'estimation de paramètres 2D avec des degrés de liberté (DOF) plus élevés. Cependant, dans le cas où plusieurs transmissions à bande étroite s'étalent sur un large spectre, la technique existante basée sur l'ACV avec échantillonnage de Nyquist peut rencontrer un goulot d'étranglement pour le traitement analogique et numérique. Pour alléger le fardeau de l'échantillonnage de Nyquist à haut débit, une méthode d'estimation conjointe du spectre à large bande et de la direction d'arrivée (DOA) avec échantillonnage compressé basé sur LCA, qui est reconnu comme un convertisseur à large bande modulé (MWC) basé sur LCA, est présentée. dans ce travail. Tout d'abord, le signal reçu le long de chaque antenne est mélangé aux bandes de base, filtré passe-bas et sous-échantillonné pour obtenir les données d'échantillonnage compressées. Ensuite, en construisant les données virtuelles reçues du coarray de différence 2D, nous estimons le spectre à large bande et la DOA conjointement en utilisant deux méthodes de récupération, la première étant une méthode ESPRIT conjointe et l'autre une méthode CS conjointe. Les simulations numériques illustrent la validité du système MWC basé sur l'ACV proposé et montrent la supériorité.
Wanghan LV
Nanjing Tech University
Lihong HU
Glarun Technology Co., Ltd.
Weijun ZENG
PLA Army Engineering University
Huali WANG
PLA Army Engineering University
Zhangkai LUO
Space Engineering University
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Wanghan LV, Lihong HU, Weijun ZENG, Huali WANG, Zhangkai LUO, "Joint Wideband Spectrum and DOA Estimation with Compressed Sampling Based on L-Shaped Co-Prime Array" in IEICE TRANSACTIONS on Fundamentals,
vol. E105-A, no. 7, pp. 1028-1037, July 2022, doi: 10.1587/transfun.2021EAP1127.
Abstract: As known to us all, L-shaped co-prime array (LCA) is a recently introduced two-dimensional (2-D) sparse array structure, which is extended from linear co-prime array (CA). Such sparse array geometry can be used for 2-D parameters estimation with higher degrees-of-freedom (DOF). However, in the scenario where several narrowband transmissions spread over a wide spectrum, existing technique based on LCA with Nyquist sampling may encounter a bottleneck for both analog and digital processing. To alleviate the burden of high-rate Nyquist sampling, a method of joint wideband spectrum and direction-of-arrival (DOA) estimation with compressed sampling based on LCA, which is recognized as LCA-based modulated wideband converter (MWC), is presented in this work. First, the received signal along each antenna is mixed to basebands, low-pass filtered and down-sampled to get the compressed sampling data. Then by constructing the virtual received data of 2-D difference coarray, we estimate the wideband spectrum and DOA jointly using two recovery methods where the first is a joint ESPRIT method and the other is a joint CS method. Numerical simulations illustrate the validity of the proposed LCA based MWC system and show the superiority.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAP1127/_p
Copier
@ARTICLE{e105-a_7_1028,
author={Wanghan LV, Lihong HU, Weijun ZENG, Huali WANG, Zhangkai LUO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Joint Wideband Spectrum and DOA Estimation with Compressed Sampling Based on L-Shaped Co-Prime Array},
year={2022},
volume={E105-A},
number={7},
pages={1028-1037},
abstract={As known to us all, L-shaped co-prime array (LCA) is a recently introduced two-dimensional (2-D) sparse array structure, which is extended from linear co-prime array (CA). Such sparse array geometry can be used for 2-D parameters estimation with higher degrees-of-freedom (DOF). However, in the scenario where several narrowband transmissions spread over a wide spectrum, existing technique based on LCA with Nyquist sampling may encounter a bottleneck for both analog and digital processing. To alleviate the burden of high-rate Nyquist sampling, a method of joint wideband spectrum and direction-of-arrival (DOA) estimation with compressed sampling based on LCA, which is recognized as LCA-based modulated wideband converter (MWC), is presented in this work. First, the received signal along each antenna is mixed to basebands, low-pass filtered and down-sampled to get the compressed sampling data. Then by constructing the virtual received data of 2-D difference coarray, we estimate the wideband spectrum and DOA jointly using two recovery methods where the first is a joint ESPRIT method and the other is a joint CS method. Numerical simulations illustrate the validity of the proposed LCA based MWC system and show the superiority.},
keywords={},
doi={10.1587/transfun.2021EAP1127},
ISSN={1745-1337},
month={July},}
Copier
TY - JOUR
TI - Joint Wideband Spectrum and DOA Estimation with Compressed Sampling Based on L-Shaped Co-Prime Array
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1028
EP - 1037
AU - Wanghan LV
AU - Lihong HU
AU - Weijun ZENG
AU - Huali WANG
AU - Zhangkai LUO
PY - 2022
DO - 10.1587/transfun.2021EAP1127
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2022
AB - As known to us all, L-shaped co-prime array (LCA) is a recently introduced two-dimensional (2-D) sparse array structure, which is extended from linear co-prime array (CA). Such sparse array geometry can be used for 2-D parameters estimation with higher degrees-of-freedom (DOF). However, in the scenario where several narrowband transmissions spread over a wide spectrum, existing technique based on LCA with Nyquist sampling may encounter a bottleneck for both analog and digital processing. To alleviate the burden of high-rate Nyquist sampling, a method of joint wideband spectrum and direction-of-arrival (DOA) estimation with compressed sampling based on LCA, which is recognized as LCA-based modulated wideband converter (MWC), is presented in this work. First, the received signal along each antenna is mixed to basebands, low-pass filtered and down-sampled to get the compressed sampling data. Then by constructing the virtual received data of 2-D difference coarray, we estimate the wideband spectrum and DOA jointly using two recovery methods where the first is a joint ESPRIT method and the other is a joint CS method. Numerical simulations illustrate the validity of the proposed LCA based MWC system and show the superiority.
ER -