Reliability Oriented Modeling and Analysis of PLC for EVs to Charging Piles Communication System Based on IPA-SAMP Impulse Noise Cancelation

IEEE Access ◽

10.1109/access.2019.2961241 ◽

2020 ◽

Vol 8 ◽

pp. 4605-4614

Author(s):

Liang Zhang ◽

Shengbin Chi ◽

Quangui Hu ◽

Kang Chen ◽

Ling Lyu

Keyword(s):

Communication System ◽

Impulse Noise ◽

Modeling And Analysis ◽

Noise Cancelation

Download Full-text

Proposed machine learning system to predict and estimate impulse noise in OFDM communication system

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2016.7793751 ◽

2016 ◽

Cited By ~ 1

Author(s):

Ali N Hasan ◽

Thokozani Shongwe

Keyword(s):

Machine Learning ◽

Communication System ◽

Impulse Noise ◽

Learning System

Download Full-text

A compressed sensing based method with support refinement for impulse noise cancelation in DSL

2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC) ◽

10.1109/spawc.2013.6612051 ◽

2013 ◽

Cited By ~ 1

Author(s):

Ahmed A. Quadeer ◽

Muhammad S. Sohail ◽

Tareq Y. Al-Naffouri

Keyword(s):

Compressed Sensing ◽

Impulse Noise ◽

Noise Cancelation

Download Full-text

Impulse noise influence on communication system in high-voltage substation

2012 IX International Symposium on Telecommunications (BIHTEL) ◽

10.1109/bihtel.2012.6412096 ◽

2012 ◽

Author(s):

Zijad Bajramovic ◽

Irfan Turkovic ◽

Aleksandar Mastilovic ◽

Adnan Mujezinovic

Keyword(s):

High Voltage ◽

Communication System ◽

Impulse Noise

Download Full-text

Modeling and analysis of maglev communication system based on colored Petri nets

2017 IEEE 17th International Conference on Communication Technology (ICCT) ◽

10.1109/icct.2017.8359723 ◽

2017 ◽

Author(s):

Yibo Jiao ◽

Xiangqian Liu ◽

Yibo Cui

Keyword(s):

Petri Nets ◽

Communication System ◽

Colored Petri Nets ◽

Modeling And Analysis

Download Full-text

Impulse Noise Detection in OFDM Communication System Using Machine Learning Ensemble Algorithms

International Joint Conference SOCO’16-CISIS’16-ICEUTE’16 - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-47364-2_9 ◽

2016 ◽

pp. 85-91 ◽

Cited By ~ 2

Author(s):

Ali N. Hasan ◽

Thokozani Shongwe

Keyword(s):

Machine Learning ◽

Communication System ◽

Impulse Noise ◽

Noise Detection ◽

Ensemble Algorithms ◽

Impulse Noise Detection

Download Full-text

The modeling and Analysis of Data Communication System (DCS) in Communication Based Train Control (CBTC) with Colored Petri Nets

Eighth International Symposium on Autonomous Decentralized Systems (ISADS'07) ◽

10.1109/isads.2007.71 ◽

2007 ◽

Cited By ~ 11

Author(s):

Tianhua Xu ◽

Tao Tang

Keyword(s):

Petri Nets ◽

Communication System ◽

Data Communication ◽

Colored Petri Nets ◽

Modeling And Analysis ◽

Train Control

Download Full-text

Efficient method for modelling impulse noise in a communication system

Electronics Letters ◽

10.1049/el:19960979 ◽

1996 ◽

Vol 32 (16) ◽

pp. 1440 ◽

Cited By ~ 15

Author(s):

L.F. Lind ◽

N.A. Mufti

Keyword(s):

Efficient Method ◽

Communication System ◽

Impulse Noise

Download Full-text

Modeling and analysis of vehicular power line communication system based on bfsk for vehicle to grid (V2G)

2017 Asian Conference on Energy, Power and Transportation Electrification (ACEPT) ◽

10.1109/acept.2017.8168609 ◽

2017 ◽

Cited By ~ 1

Author(s):

Lyu Ling ◽

Ma Huanhuan ◽

Zhang Liang

Keyword(s):

Communication System ◽

Power Line ◽

Power Line Communication ◽

Modeling And Analysis ◽

Vehicle To Grid

Download Full-text

Stochastic Modeling and Analysis of PLL Phase Noise on QAM based Communication System

Recent Progress in Computational Sciences and Engineering ◽

10.1201/9780429070655-75 ◽

2019 ◽

pp. 305-309

Author(s):

Hyun Lee Chong

Keyword(s):

Phase Noise ◽

Stochastic Modeling ◽

Communication System ◽

Modeling And Analysis

Download Full-text

Implementation of an Impulse Noise Suppression Method in OFDM Underwater Acoustic Communication System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.268-270.1537 ◽

2011 ◽

Vol 268-270 ◽

pp. 1537-1542

Author(s):

Wen Han Ma ◽

Xiao Yi Hu ◽

Li Yang Bai

Keyword(s):

Shallow Water ◽

Acoustic Communication ◽

Communication System ◽

Orthogonal Frequency Division Multiplexing ◽

Impulse Noise ◽

Underwater Acoustic Communication ◽

Ofdm System ◽

Underwater Acoustic ◽

Sea Trial ◽

Ber Performance

This paper describes the characteristics of the impulse noise in the shallow water acoustic channel, and its influence on the bit error rate (BER) performance of the Orthogonal Frequency Division Multiplexing (OFDM) system. The simulation has been carried out to analyze the performance of the joint suppression of impulse noise in time and frequency domain in OFDM underwater acoustic communication system. Data processing of the actual sea trial in Xiamen Harbor shows that the method has some impressive effect on impulse noise in shallow water acoustic OFDM system, and improves the BER performance on different levels.

Download Full-text