2012 35th International Conference on Telecommunications and Signal Processing (TSP) 2012
DOI: 10.1109/tsp.2012.6256299
|View full text |Cite
|
Sign up to set email alerts
|

Noise modeling for power line communication model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
14
0

Year Published

2013
2013
2021
2021

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 18 publications
(14 citation statements)
references
References 5 publications
0
14
0
Order By: Relevance
“…11 , lc 21 , lc 32 , lc 43 , lt 24 [6,7,9,9,6,6,8,8,7,6,10,5,6], where lt ij -length between T i and C j , lc ij -length between C i and C j (see Fig.2.). Results for medium topology with 7 sections:…”
Section: A Simulation Results For Loads With Different Impedancesmentioning
confidence: 99%
See 2 more Smart Citations
“…11 , lc 21 , lc 32 , lc 43 , lt 24 [6,7,9,9,6,6,8,8,7,6,10,5,6], where lt ij -length between T i and C j , lc ij -length between C i and C j (see Fig.2.). Results for medium topology with 7 sections:…”
Section: A Simulation Results For Loads With Different Impedancesmentioning
confidence: 99%
“…Power line channel is a very harsh and noisy transmission medium [11]. The power line channel is frequency-selective, time-varying, and is impaired by noise.…”
Section: Introduction Ystems For Communication Over Power Lines Are Rmentioning
confidence: 99%
See 1 more Smart Citation
“…The Cyclic Prefix (CP) is inserted to reduce Inter-symbol interference (ISI). The multipath channel model has been used as given in (2). Background and impulsive noise are injected through the channel.…”
Section: Impulsive Noise In Plcmentioning
confidence: 99%
“…However the PLC channel is not conducive to high speed data transmission due to attenuation and interferences from various sources [1]. In [2] different types of PLC noise sources are modelled in Matlab/Simulink, among these the background and impulsive noises are the main source of interference resulting in signal distortion. The background noise can be modelled as an Additive White Gaussian Noise (AWGN) and the impulsive noise is based on the Middleton Class A noise model [3].…”
Section: Introductionmentioning
confidence: 99%