A robust Bayesian inference-based channel estimation in power line communication systems contaminated by impulsive noise

Asadpour, Mohammad; Tazehkand, Behzad Mozaffari; Seyedarabi, Hadi

doi:10.3906/elk-1403-8

Turk J Elec Eng & Comp Sci

2016

DOI: 10.3906/elk-1403-8

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A robust Bayesian inference-based channel estimation in power line communication systems contaminated by impulsive noise

Mohammad Asadpour¹,

Behzad Mozaffari Tazehkand²,

Hadi Seyedarabi³

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Cited by 3 publications

(1 citation statement)

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“…The authors in [5] present an adaptive iterative receiver used to decrease the impact of impulsive noise on OFDM based power line communications. In [6], power line channel impulse response estimation is done by applying a relevance vector machine to the received data. The authors of [7] cancel the impulsive noise in PLC systems with OFDM by steps settled on turbo coding and frequency domain equalization.…”

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confidence: 99%

Performance of MAP Channel Estimator in Power Line Communication with OFDM under Impulsive Noise

Çürük¹

2018

Balkan Journal of Electrical and Computer Engineering

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Power Line Communication (PLC), which is a competitive technique especially for in-home applications, faces impulsive noise together with unstable channel characteristics. These two unpredictable factors make the communication on power lines difficult, which may reduce the efficiency of Orthogonal Frequency Division Multiplexing (OFDM), the selected modulation standard for PLC. There exists various channel estimators for PLC in the literature. The former techniques assume the channel noise is white Gaussian as in the wireless multipath, while the newer ones model the corrupted noise as impulsive which results with more complex receivers. In this study, the performance of the Maximum A-Posteriori (MAP) estimator proposed for additive white Gaussian noise channels is evaluated for PLC systems with OFDM under the constraint of impulsive noise. For the simulations multipath channel data is taken from the literature and Middleton Class A impulsive noise model is used. The results show that the MAP estimator which is designed with the assumption of white Gaussian noise has a satisfactory performance even under heavy impulsive noise.

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confidence: 99%

Performance of MAP Channel Estimator in Power Line Communication with OFDM under Impulsive Noise

Çürük¹

2018

Balkan Journal of Electrical and Computer Engineering

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Impulsive Modelling of Noise for OFDM Systems in Power Line Communication: A Necessity or a Redundant Task?

Çürük

2019

J. Electr. Eng. Technol.

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Capacity Improvement in Low Voltage Relay aided PLC based on Decode and Forward Protocol over Middleton class-A Channel

Khyari

Khalfallah

Barouni

et al. 2018

IETE Journal of Research

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A robust Bayesian inference-based channel estimation in power line communication systems contaminated by impulsive noise

Cited by 3 publications

References 37 publications

Performance of MAP Channel Estimator in Power Line Communication with OFDM under Impulsive Noise

Performance of MAP Channel Estimator in Power Line Communication with OFDM under Impulsive Noise

Impulsive Modelling of Noise for OFDM Systems in Power Line Communication: A Necessity or a Redundant Task?

Capacity Improvement in Low Voltage Relay aided PLC based on Decode and Forward Protocol over Middleton class-A Channel

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