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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dans cette lettre, une nouvelle approche semi-aveugle intégrant la nature limitée des sources de communication avec la distance entre les sorties de l'égaliseur et la séquence d'entraînement est proposée. En utilisant la propriété de parcimonie de l1-fonction de coût standard, l'algorithme proposé peut surpasser la méthode semi-aveugle basée sur le critère de statistiques d'ordre supérieur (HOS), en particulier pour les sources de transmission à module non constant. Les résultats expérimentaux démontrent que la méthode proposée présente des performances supérieures à la méthode semi-aveugle basée sur HOS et à la méthode classique basée sur la formation pour l'égalisation des sources QPSK et 16QAM. Tandis que pour les entrées de signal 64QAM, l'algorithme proposé présente sa supériorité dans des conditions de faible rapport signal/bruit (SNR) par rapport à la méthode basée sur la formation.
Liu YANG
Army Engineering University of PLA
Hang ZHANG
Army Engineering University of PLA
Yang CAI
Space Engineering University of PLA
Qiao SU
Army Engineering University of PLA
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Liu YANG, Hang ZHANG, Yang CAI, Qiao SU, "A New Semi-Blind Method for Spatial Equalization in MIMO Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 10, pp. 1693-1697, October 2018, doi: 10.1587/transfun.E101.A.1693.
Abstract: In this letter, a new semi-blind approach incorporating the bounded nature of communication sources with the distance between the equalizer outputs and the training sequence is proposed. By utilizing the sparsity property of l1-norm cost function, the proposed algorithm can outperform the semi-blind method based on higher-order statistics (HOS) criterion especially for transmitting sources with non-constant modulus. Experimental results demonstrate that the proposed method shows superior performance over the HOS based semi-blind method and the classical training-based method for QPSK and 16QAM sources equalization. While for 64QAM signal inputs, the proposed algorithm exhibits its superiority in low signal-to-noise-ratio (SNR) conditions compared with the training-based method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1693/_p
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@ARTICLE{e101-a_10_1693,
author={Liu YANG, Hang ZHANG, Yang CAI, Qiao SU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A New Semi-Blind Method for Spatial Equalization in MIMO Systems},
year={2018},
volume={E101-A},
number={10},
pages={1693-1697},
abstract={In this letter, a new semi-blind approach incorporating the bounded nature of communication sources with the distance between the equalizer outputs and the training sequence is proposed. By utilizing the sparsity property of l1-norm cost function, the proposed algorithm can outperform the semi-blind method based on higher-order statistics (HOS) criterion especially for transmitting sources with non-constant modulus. Experimental results demonstrate that the proposed method shows superior performance over the HOS based semi-blind method and the classical training-based method for QPSK and 16QAM sources equalization. While for 64QAM signal inputs, the proposed algorithm exhibits its superiority in low signal-to-noise-ratio (SNR) conditions compared with the training-based method.},
keywords={},
doi={10.1587/transfun.E101.A.1693},
ISSN={1745-1337},
month={October},}
Copier
TY - JOUR
TI - A New Semi-Blind Method for Spatial Equalization in MIMO Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1693
EP - 1697
AU - Liu YANG
AU - Hang ZHANG
AU - Yang CAI
AU - Qiao SU
PY - 2018
DO - 10.1587/transfun.E101.A.1693
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2018
AB - In this letter, a new semi-blind approach incorporating the bounded nature of communication sources with the distance between the equalizer outputs and the training sequence is proposed. By utilizing the sparsity property of l1-norm cost function, the proposed algorithm can outperform the semi-blind method based on higher-order statistics (HOS) criterion especially for transmitting sources with non-constant modulus. Experimental results demonstrate that the proposed method shows superior performance over the HOS based semi-blind method and the classical training-based method for QPSK and 16QAM sources equalization. While for 64QAM signal inputs, the proposed algorithm exhibits its superiority in low signal-to-noise-ratio (SNR) conditions compared with the training-based method.
ER -