Paper Info
Title
Statistical characterization and modelling of impulse noise on indoor narrowband PLC environment
Abstract
This paper focuses on the characterization and modelling of impulse noise in narrowband power line communication. Two modelling approaches of the measured noise are studied and compared: the memoryless Middleton class-A model and the Markov-Middleton model with memory. Model comparisons with measurements show that Markov-Middleton is compliant with the impulse noise temporal structure since it considers the pulse sample correlation. In the frequency domain, both models do not well represent the frequency behaviour of the impulse noise. Differences in duration and distribution in time of errors generated by measured/modelled noise are noticed.
Year
DOI
Venue
2017
10.1109/ISPLC.2017.7897119
2017 IEEE International Symposium on Power Line Communications and its Applications (ISPLC)
Keywords
Field
DocType
narrowband impulse noise,Middleton class-A model,Markov chains,G3-PLC,OFDM,FCC band
Noise floor,Narrowband,Noise measurement,Noise (electronics),Phase noise,Electronic engineering,Noise temperature,Impulse noise,Acoustics,Engineering,Gaussian noise
Conference
ISBN
Citations 
PageRank 
978-1-5090-2390-5
2
0.52
References 
Authors
7
4
Name
Order
Citations
PageRank
Fatma Rouissi12010.11
a j han vinck241958.77
hela gassara3123.18
Adel Ghazel46324.44