NDLI: Markov Characterization of Channels and Its Applications in Powerline Communications Systems

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Markov Characterization of Channels and Its Applications in Powerline Communications Systems

Content Provider	IEEE Xplore Digital Library
Author	Mingyue Zhai
Copyright Year	2006
Description	Author affiliation: Dept. of Inf. Eng., North China Electr. Power Univ., Beijing (Mingyue Zhai)
Abstract	Based on the nature of impulse noises, low-voltage power line communications (LV PLC) channels are supposed to be memory channels. In the paper, the characteristics of LV PLC channels are analyzed in detail and a partitioned Markov chain is proposed to model the channels. According to the LV PLC channels, some hypothesis are suggested, which lead to the derivation of the error-free distribution. By employing the Hamilton theorem, the elements in the basic transition matrix P could be solved with the nonlinear fitting method and the conditions for the general solution are given too. With the proposed model, channel properties with signal modulated by FSK, DPSK, QPSK and 8PSK are investigated. At the same time, the basic transition matrix is determined by the proposed method. After the transition matrix is analyzed, the conclusion that 8PSK is the best modulation scheme can be arrived, which is of good agreement with the published paper. This conclusion can verify that the proposed Markov model and the solution of the Markov parameters are correct
File Size	138877
File Format	PDF
ISBN	0780397363
DOI	10.1109/ICOSP.2006.345844
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power line communications Communication systems Power system modeling Programmable control Power engineering and energy Decoding Design optimization Frequency shift keying Differential quadrature phase shift keying Quadrature phase shift keying
Content Type	Text
Resource Type	Article

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