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Power Line Communication with Robust Timing and Carrier Recovery against Narrowband Interference for Smart Grid.
Liu, Sicong; Yang, Fang; Li, Dejian; Yao, Ruilong; Song, Jian.
Afiliação
  • Liu S; Department of Information and Communication Engineering, School of Informatics, Xiamen University, Xiamen 361005, China.
  • Yang F; Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
  • Li D; Beijing National Research Center for Information Science and Technology (BNRist), Beijing 100084, China.
  • Yao R; Beijing Smart-Chip Microelectronics Technology Co., Ltd., Beijing 102200, China.
  • Song J; Beijing Smart-Chip Microelectronics Technology Co., Ltd., Beijing 102200, China.
Sensors (Basel) ; 22(11)2022 May 25.
Article em En | MEDLINE | ID: mdl-35684633
Power line communication (PLC) is an important interconnection technology for the smart grid, but the robustness of PLC transmission is faced with a great challenge due to strong non-Gaussian noise and interference. In this paper, a narrowband interference (NBI) resistant preamble is designed, and an effective timing and frequency synchronization method is proposed for OFDM-based PLC systems in the smart grid, which is capable of simultaneously conveying some bits of transmission parameter signaling (TPS) as well. In the time domain, the cyclic extension of the training OFDM symbol is scrambled, which makes it feasible to combat against NBI contamination. More accurate timing detection and sharper correlation peak can be implemented under the power line channel and the AWGN channel in the presence of NBI, compared with the conventional Schmidl's and Minn's methods with the same preamble length. Furthermore, the TPS transmitted using the proposed method is also immune from the NBI. The proposed method is capable of improving the synchronization performance of the PLC transmission significantly, which is verified by theoretical analysis and computer simulations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China