A cooperative modulation recognition: New paradigm for power line networks in smart grid; Physical Communication; Vol. 25

Detalhes bibliográficos
Parent link:Physical Communication
Vol. 25.— 2017.— [P. 268-276]
Autor Corporativo: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Научно-образовательный центр "Автоматизация и информационные технологии"
Outros Autores: Yu Hai, Shi Liuqiang, Qian Yuwen, Shu Feng, Li Jun, Zhao Yixueying, Dzhayakodi (Jayakody) Arachshiladzh D. N. K. Dushanta Nalin Kumara
Resumo:Title screen
Power Line communication (PLC) is an attractive approach to provide information transfer services for future smart grids. However, since various modulations are adopted, it is a great challenge to add new nodes to collect the data from the devices or sensors in in-home PLC networks. In this paper, we propose an approach to automatically access to the PLC network by identifying the modulation of signals. To improve the correct recognition rate on identification of modulations, we propose a multiple input and multiple output (MIMO) based cooperative modulation identification scheme. After receiving the recognition results from accessing nodes, the central server makes the comprehensive and accurate recognition decision on the modulation of the PLC network. Furthermore, the fourth-order cumulants for multiple users are adopted as the feature for this modulation classifier. With the feature, we propose an improved modulation classification algorithm based on the maximum likelihood. Simulations show that a high detection rate and low false positive rate can be achieved as we employ the cooperative modulation identifying scheme and the improved recognition algorithm.
Режим доступа: по договору с организацией-держателем ресурса
Idioma:inglês
Publicado em: 2017
Assuntos:
Acesso em linha:https://doi.org/10.1016/j.phycom.2017.05.006
Formato: Recurso Electrónico Capítulo de Livro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665867

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330 |a Power Line communication (PLC) is an attractive approach to provide information transfer services for future smart grids. However, since various modulations are adopted, it is a great challenge to add new nodes to collect the data from the devices or sensors in in-home PLC networks. In this paper, we propose an approach to automatically access to the PLC network by identifying the modulation of signals. To improve the correct recognition rate on identification of modulations, we propose a multiple input and multiple output (MIMO) based cooperative modulation identification scheme. After receiving the recognition results from accessing nodes, the central server makes the comprehensive and accurate recognition decision on the modulation of the PLC network. Furthermore, the fourth-order cumulants for multiple users are adopted as the feature for this modulation classifier. With the feature, we propose an improved modulation classification algorithm based on the maximum likelihood. Simulations show that a high detection rate and low false positive rate can be achieved as we employ the cooperative modulation identifying scheme and the improved recognition algorithm. 
333 |a Режим доступа: по договору с организацией-держателем ресурса 
461 |t Physical Communication 
463 |t Vol. 25  |v [P. 268-276]  |d 2017 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
610 1 |a smart grid 
610 1 |a in-home network 
610 1 |a power line communication 
610 1 |a mimo 
610 1 |a modulation identification 
610 1 |a умные сети 
610 1 |a электроснабжение 
610 1 |a линии электропередачи 
610 1 |a модуляция 
701 0 |a Yu Hai 
701 0 |a Shi Liuqiang 
701 0 |a Qian Yuwen 
701 0 |a Shu Feng 
701 0 |a Li Jun 
701 0 |a Zhao Yixueying 
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