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Publishing Language: Chinese

Performance Analysis of FCI-DCSK-NR over Power Line Channel

Guixian CHENG1Qin LING1( )Cai ZHENG1Fang CHEN2Quanling ZHANG1Pingping CHEN3
School of Physics and Electronic Science, Guizhou Normal University, Guiyang 550025, Guizhou, China
Huizhou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Huizhou 516003, Guangdong, China
National-Local Joint Engineering Research Center for Intelligent Technology of Digital Television, Fuzhou University, Fuzhou 350108, Fujian, China
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Abstract

A differential chaos shift keying scheme that fuses noise reduction with full carrier indexing (FCI-DCSK-NR) is proposed for power-line channels. The scheme integrates noise reduction and full-carrier index techniques into differential chaos shift keying (DCSK) modulation to effectively tackle the complex power line channel environment, especially the interference caused by impulsive noise. Firstly, in this scheme, all subcarriers except the reference carrier are divided into two categories, namely Type-1 active carriers and Type-2 active carriers. The two types of carriers are distinguished via index bits; the carriers selected by the index bits serve as Type-1 active carriers, while the remaining subcarriers function as Type-2 active carriers. Subsequently, Type-1 and Type-2 active carriers transmit Type-1 and Type-2 modulation bits using chaotic signals and their Hilbert-transformed signals, respectively. Moreover, identical information is transmitted in multiple distinct time slots at the transmitter, and the received replicas are averaged at the receiver to mitigate impulsive noise. A closed-form bit-error-rate (Bit error rate, BER) expression for FCI-DCSK-NR over power line channels is derived and verified by Monte-Carlo simulations. Analytical and numerical results show that the proposed scheme effectively mitigates impulse noise in power line channels. Compared to traditional DCSK and Generalized Carrier Index DCSK (GCI-DCSK) schemes, the proposed method exhibits improvements in both BER performance and data rate. Additionally, this experimental scheme is well-suited for integration into training programs of power grid companies, universities, and research institutes, contributing to the cultivation of relevant technical talent.

CLC number: TN911.3 Article ID: 1000-565X(2026)01-0030-12

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Journal of South China University of Technology (Natural Science Edition)
Pages 30-41

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Cite this article:
CHENG G, LING Q, ZHENG C, et al. Performance Analysis of FCI-DCSK-NR over Power Line Channel. Journal of South China University of Technology (Natural Science Edition), 2026, 54(1): 30-41. https://doi.org/10.12141/j.issn.1000-565X.250233

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Received: 15 July 2025
Published: 01 January 2026
© Journal of South China University of Technology(Natural Science Edition)