Modeling of Amplitude-Correlated and Occurrence-Dependent Impulsive Noise for Power Line Communication

Yin, Jun, Zhu, Xu ORCID: 0000-0002-7371-4595 and Huang, Yi ORCID: 0000-0001-7774-1024 (2014) Modeling of Amplitude-Correlated and Occurrence-Dependent Impulsive Noise for Power Line Communication. In: ICC 2014 - 2014 IEEE International Conference on Communications, 2014-6-10 - 2014-6-14.

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Abstract

The existing Bernoulli-Gaussian (BG) model describes the impulsive noise samples for power line communication (PLQ as independent and identically distributed (i.i.d.). In practice, impulses often occur in bursts and have memory. In this paper, the impulsive noise for PLC is investigated using both measurement and modeling approaches. To the best of our knowledge, this is the first work to model the correlation between consecutive impulses for PLC, using a hybrid model which includes the weighted contributions of deterministic and random patterns of individual impulses in a burst. The occurrence dependence between bursts and between impulses in a burst is described by an enhanced two-level Markov Chain (MQ based model. An intensive performance analysis of the proposed models is provided. The effectiveness of the models is verified by measured results. © 2014 IEEE.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Power line communication (PLC), impulsive noise, burst noise, correlation, Markov chain, occurrence probability
Subjects:	?? TK ??
Depositing User:	Symplectic Admin
Date Deposited:	12 May 2015 14:56
Last Modified:	16 Mar 2024 06:02
DOI:	10.1109/icc.2014.6884041
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/2011205