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
Nos sistemas de comunicação móvel, a informação do estado do canal (CSI) é severamente afetada pelo efeito de ruído do receptor. O agrupamento adaptativo de subportadoras (ASG) para matriz adaptativa de erro quadrático médio mínimo (MMSE) baseado em inversão de matriz de amostra (SMI) foi proposto anteriormente. Embora possa reduzir o efeito de ruído aditivo aumentando as amostras para derivar o peso da matriz para supressão de interferência co-canal, ele precisa conhecer a relação sinal-ruído (SNR) antecipadamente para definir o limite para o agrupamento de subportadoras. Este artigo propõe recentemente o preenchimento zero adaptativo (AZP) no domínio do tempo para melhorar a precisão do peso da matriz SMI. Este método não precisa estimar o SNR antecipadamente e, mesmo que o limite seja sempre constante, ele pode identificar de forma adaptativa a posição do preenchimento de zero para eliminar a interferência de ruído do sinal recebido. Os resultados da simulação revelam que o método proposto pode alcançar um desempenho superior de taxa de erro de bit (BER) sob vários fatores Rician K.
He HE
Chiba University
Shun KOJIMA
Utsunomiya University
Kazuki MARUTA
Tokyo University of Science
Chang-Jun AHN
Chiba University
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He HE, Shun KOJIMA, Kazuki MARUTA, Chang-Jun AHN, "Adaptive Zero-Padding with Impulsive Training Signal MMSE-SMI Adaptive Array Interference Suppression" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 4, pp. 674-682, April 2023, doi: 10.1587/transfun.2022EAP1070.
Abstract: In mobile communication systems, the channel state information (CSI) is severely affected by the noise effect of the receiver. The adaptive subcarrier grouping (ASG) for sample matrix inversion (SMI) based minimum mean square error (MMSE) adaptive array has been previously proposed. Although it can reduce the additive noise effect by increasing samples to derive the array weight for co-channel interference suppression, it needs to know the signal-to-noise ratio (SNR) in advance to set the threshold for subcarrier grouping. This paper newly proposes adaptive zero padding (AZP) in the time domain to improve the weight accuracy of the SMI matrix. This method does not need to estimate the SNR in advance, and even if the threshold is always constant, it can adaptively identify the position of zero-padding to eliminate the noise interference of the received signal. Simulation results reveal that the proposed method can achieve superior bit error rate (BER) performance under various Rician K factors.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2022EAP1070/_p
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@ARTICLE{e106-a_4_674,
author={He HE, Shun KOJIMA, Kazuki MARUTA, Chang-Jun AHN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Adaptive Zero-Padding with Impulsive Training Signal MMSE-SMI Adaptive Array Interference Suppression},
year={2023},
volume={E106-A},
number={4},
pages={674-682},
abstract={In mobile communication systems, the channel state information (CSI) is severely affected by the noise effect of the receiver. The adaptive subcarrier grouping (ASG) for sample matrix inversion (SMI) based minimum mean square error (MMSE) adaptive array has been previously proposed. Although it can reduce the additive noise effect by increasing samples to derive the array weight for co-channel interference suppression, it needs to know the signal-to-noise ratio (SNR) in advance to set the threshold for subcarrier grouping. This paper newly proposes adaptive zero padding (AZP) in the time domain to improve the weight accuracy of the SMI matrix. This method does not need to estimate the SNR in advance, and even if the threshold is always constant, it can adaptively identify the position of zero-padding to eliminate the noise interference of the received signal. Simulation results reveal that the proposed method can achieve superior bit error rate (BER) performance under various Rician K factors.},
keywords={},
doi={10.1587/transfun.2022EAP1070},
ISSN={1745-1337},
month={April},}
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TY - JOUR
TI - Adaptive Zero-Padding with Impulsive Training Signal MMSE-SMI Adaptive Array Interference Suppression
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 674
EP - 682
AU - He HE
AU - Shun KOJIMA
AU - Kazuki MARUTA
AU - Chang-Jun AHN
PY - 2023
DO - 10.1587/transfun.2022EAP1070
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E106-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2023
AB - In mobile communication systems, the channel state information (CSI) is severely affected by the noise effect of the receiver. The adaptive subcarrier grouping (ASG) for sample matrix inversion (SMI) based minimum mean square error (MMSE) adaptive array has been previously proposed. Although it can reduce the additive noise effect by increasing samples to derive the array weight for co-channel interference suppression, it needs to know the signal-to-noise ratio (SNR) in advance to set the threshold for subcarrier grouping. This paper newly proposes adaptive zero padding (AZP) in the time domain to improve the weight accuracy of the SMI matrix. This method does not need to estimate the SNR in advance, and even if the threshold is always constant, it can adaptively identify the position of zero-padding to eliminate the noise interference of the received signal. Simulation results reveal that the proposed method can achieve superior bit error rate (BER) performance under various Rician K factors.
ER -