DocumentCode :
719932
Title :
A Novel Stochastic Model for the Impulsive Noise in the Narrowband Indoor PLC Environment
Author :
Gassara, Hela ; Rouissi, Fatma ; Ghazel, Adel
Author_Institution :
GRESCOM Lab., Univ. of Carthage, Tunis, Tunisia
fYear :
2015
fDate :
11-14 May 2015
Firstpage :
62
Lastpage :
67
Abstract :
This paper presents a novel stochastic model for the impulsive noise measured in the narrowband indoor Power Line Communication (PLC) environment. Based on extensive measurements carried out inside several buildings, the impulsive noise has been characterized and modelled for the low frequency range transmission over power lines. An appropriate method has been used to finely extract pulses and their characteristic parameters, and four different classes has been defined with adequate parametric models based on empirical approach. Class 1 pulses, which correspond to single pulses in the form of damping sinusoids, present the majority of the extracted pulses. These pulses, with pseudo-frequencies below 500 kHz, have been statistically modelled by fitting the model parameters deduced from measurements with proper distribution functions. This stochastic modelling is useful for generating impulsive noise in order to assess the performance of narrowband communication chains and to improve the design of PLC systems operating in the CENELEC/FCC/ARIB low frequency bands.
Keywords :
carrier transmission on power lines; feature extraction; impulse noise; stochastic processes; damping sinusoids; distribution functions; impulsive noise; low frequency range transmission; model parameters; narrowband indoor PLC environment; narrowband indoor power line communication environment; power lines; stochastic modelling; Damping; Distribution functions; Narrowband; Noise; Noise measurement; Pulse measurements; Stochastic processes; Power Line Communication (PLC); experimental measurements; impulsive noise; narrowband; stochastic modelling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International
Conference_Location :
Pisa
Type :
conf
DOI :
10.1109/I2MTC.2015.7151241
Filename :
7151241
Link To Document :
بازگشت