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
Propomos um método de equalização cega distribuída para redes de sensores sem fio, no qual uma fonte envia dados e cada nó realiza equalização no domínio do tempo para estimar os dados de um sinal recebido que é afetado por interferência inter-símbolo. A equalização pode ser realizada de forma distributiva com base no princípio de equalização mutuamente referenciada. Mesmo que os nós da rede não estejam totalmente conectados entre si, a técnica de consenso médio nos permite realizar a equalização de todos os canais.
Yoshiki SUGITANI
Ibaraki University
Wataru YAMAMOTO
Ibaraki University
Teruyuki MIYAJIMA
Ibaraki University
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Yoshiki SUGITANI, Wataru YAMAMOTO, Teruyuki MIYAJIMA, "Distributed Mutually Referenced Equalization" in IEICE TRANSACTIONS on Fundamentals,
vol. E102-A, no. 12, pp. 1997-2000, December 2019, doi: 10.1587/transfun.E102.A.1997.
Abstract: We propose a distributed blind equalization method for wireless sensor networks, in which a source sends data and each node performs time-domain equalization to estimate the data from a received signal that is affected by inter-symbol interference. The equalization can be performed distributively based on the mutually referenced equalization principle. Even if the nodes in the network are not fully connected to each other, the average consensus technique enables us to perform the equalization of all channels.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E102.A.1997/_p
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@ARTICLE{e102-a_12_1997,
author={Yoshiki SUGITANI, Wataru YAMAMOTO, Teruyuki MIYAJIMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Distributed Mutually Referenced Equalization},
year={2019},
volume={E102-A},
number={12},
pages={1997-2000},
abstract={We propose a distributed blind equalization method for wireless sensor networks, in which a source sends data and each node performs time-domain equalization to estimate the data from a received signal that is affected by inter-symbol interference. The equalization can be performed distributively based on the mutually referenced equalization principle. Even if the nodes in the network are not fully connected to each other, the average consensus technique enables us to perform the equalization of all channels.},
keywords={},
doi={10.1587/transfun.E102.A.1997},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - Distributed Mutually Referenced Equalization
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1997
EP - 2000
AU - Yoshiki SUGITANI
AU - Wataru YAMAMOTO
AU - Teruyuki MIYAJIMA
PY - 2019
DO - 10.1587/transfun.E102.A.1997
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E102-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2019
AB - We propose a distributed blind equalization method for wireless sensor networks, in which a source sends data and each node performs time-domain equalization to estimate the data from a received signal that is affected by inter-symbol interference. The equalization can be performed distributively based on the mutually referenced equalization principle. Even if the nodes in the network are not fully connected to each other, the average consensus technique enables us to perform the equalization of all channels.
ER -