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
Afin de résoudre le problème du système d'identification automatique (AIS) selon lequel le signal dans le créneau cible ne peut pas être correctement reçu en raison d'un chevauchement partiel des signaux dans des créneaux temporels adjacents, l'article introduit un nouveau critère : la puissance maximale attendue du signal (MESP) et propose un nouvel algorithme de formation de faisceaux basé sur la décomposition généralisée en valeurs singulières (GSVD) et la projection orthogonale. L'algorithme utilise GSVD pour estimer le sous-espace du signal et adopte une projection orthogonale pour projeter le signal reçu sur le sous-espace orthogonal du signal non cible. Ensuite, une technique de formation de faisceau est utilisée pour maximiser la puissance de sortie du signal cible sur la base du MESP. Les résultats de l'analyse théorique et de la simulation montrent l'efficacité de l'algorithme proposé.
Liqing SHAN
Tianjin University of Technology
Shexiang MA
Tianjin University of Technology
Xin MENG
Tianjin University of Technology
Long ZHOU
Tianjin University of Technology
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Liqing SHAN, Shexiang MA, Xin MENG, Long ZHOU, "Interference Suppression of Partially Overlapped Signals Using GSVD and Orthogonal Projection" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 5, pp. 1055-1060, May 2019, doi: 10.1587/transcom.2018EBP3210.
Abstract: In order to solve the problem in Automatic Identification System (AIS) that the signal in the target slot cannot be correctly received due to partial overlap of signals in adjacent time slots, the paper introduces a new criterion: maximum expected signal power (MESP) and proposes a novel beamforming algorithm based on generalized singular value decomposition (GSVD) and orthogonal projection. The algorithm employs GSVD to estimate the signal subspace, and adopts orthogonal projection to project the received signal onto the orthogonal subspace of the non-target signal. Then, beamforming technique is used to maximize the output power of the target signal on the basis of MESP. Theoretical analysis and simulation results show the effectiveness of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3210/_p
Copier
@ARTICLE{e102-b_5_1055,
author={Liqing SHAN, Shexiang MA, Xin MENG, Long ZHOU, },
journal={IEICE TRANSACTIONS on Communications},
title={Interference Suppression of Partially Overlapped Signals Using GSVD and Orthogonal Projection},
year={2019},
volume={E102-B},
number={5},
pages={1055-1060},
abstract={In order to solve the problem in Automatic Identification System (AIS) that the signal in the target slot cannot be correctly received due to partial overlap of signals in adjacent time slots, the paper introduces a new criterion: maximum expected signal power (MESP) and proposes a novel beamforming algorithm based on generalized singular value decomposition (GSVD) and orthogonal projection. The algorithm employs GSVD to estimate the signal subspace, and adopts orthogonal projection to project the received signal onto the orthogonal subspace of the non-target signal. Then, beamforming technique is used to maximize the output power of the target signal on the basis of MESP. Theoretical analysis and simulation results show the effectiveness of the proposed algorithm.},
keywords={},
doi={10.1587/transcom.2018EBP3210},
ISSN={1745-1345},
month={May},}
Copier
TY - JOUR
TI - Interference Suppression of Partially Overlapped Signals Using GSVD and Orthogonal Projection
T2 - IEICE TRANSACTIONS on Communications
SP - 1055
EP - 1060
AU - Liqing SHAN
AU - Shexiang MA
AU - Xin MENG
AU - Long ZHOU
PY - 2019
DO - 10.1587/transcom.2018EBP3210
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2019
AB - In order to solve the problem in Automatic Identification System (AIS) that the signal in the target slot cannot be correctly received due to partial overlap of signals in adjacent time slots, the paper introduces a new criterion: maximum expected signal power (MESP) and proposes a novel beamforming algorithm based on generalized singular value decomposition (GSVD) and orthogonal projection. The algorithm employs GSVD to estimate the signal subspace, and adopts orthogonal projection to project the received signal onto the orthogonal subspace of the non-target signal. Then, beamforming technique is used to maximize the output power of the target signal on the basis of MESP. Theoretical analysis and simulation results show the effectiveness of the proposed algorithm.
ER -