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Performance Evaluation of PLC Under the Combined Effect of Background and Impulsive Noises

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TLDR
The analysis presented in this letter closely predicts the behavior of the PLC system under the combined effect of background and impulsive noises.
Abstract
Power line communication (PLC) is the use of power lines for the purpose of electronic data transmission. The presence of additive noise, namely, background noise and impulsive noise, significantly affects the performance of a PLC system. While the background noise is modeled by Nakagami- $m$ distribution, the impulsive noise is modeled using Middleton class A distribution. In this letter, we study the performance of a PLC system under the combined effect of Nakagami- $m$ background noise and Middleton class A impulsive noise assuming binary phase shift keying signaling. The probability density function of decision variable under the influence of additive noise (sum of background noise and impulsive noise) is derived. We also derive an analytical expression for the average bit error rate of the considered PLC system. The analytical expressions are validated by close matching to the simulation results. The analysis presented in this letter closely predicts the behavior of the PLC system under the combined effect of background and impulsive noises.

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Citations
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Journal ArticleDOI

Learning-Based Signal Detection for MIMO Systems With Unknown Noise Statistics

TL;DR: This paper aims to devise a generalized maximum likelihood (ML) estimator to robustly detect signals with unknown noise statistics in multiple-input multiple-output (MIMO) systems by proposing a novel ML detection framework driven by an unsupervised learning approach.
Journal ArticleDOI

Differential Chaos Shift Keying: A Robust Modulation Scheme for Power-Line Communications

TL;DR: The aim of this brief is to propose a differential chaos shift keying (DCSK) modulation scheme as a potential candidate for smart grid communication networks and prove the advantages of this low-cost noncoherent modulation technique for PLC systems over its rivals.
Journal ArticleDOI

A Review of Monitoring Technologies for Solar PV Systems Using Data Processing Modules and Transmission Protocols: Progress, Challenges and Prospects

TL;DR: This paper comprehensively reviews the progress of several solar PV-based monitoring technologies focusing on various data processing modules and data transmission protocols and offers selective proposals for future research works.
Journal ArticleDOI

Robust and sparsity-aware adaptive filters: A Review

TL;DR: The cost functions used in these algorithms have been summarized and a timeline of algorithm development in this area has been added to provide an excellent overview on the topic.
Journal ArticleDOI

Performance Analysis of a Dual-Hop Wireless-Power Line Mixed Cooperative System

TL;DR: Analysis of a dual-hop wireless-power line mixed communication setup employing a decode-and-forward relay in terms of analytical average bit error rate (BER), outage probability, and average channel capacity finds that the system performance deteriorates as the impulsive noise index and the arrival probability of theImpulsive component of the PLC additive noise increase.
References
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Journal ArticleDOI

Statistical Analysis and Modeling of Noise on 10-kV Medium-Voltage Power Lines

TL;DR: In this article, the cumulative distribution function of the Nakagami-m distribution is calculated and compared with the corresponding empirical cumulative probability distribution in time domain for both the total noise power and the noise power at certain frequencies.
Journal ArticleDOI

PLC Performance Analysis Over Rayleigh Fading Channel Under Nakagami- $m$ Additive Noise

TL;DR: This paper provides the performance analysis of a PLC system over Rayleigh fading channel under Nakagami- $m$ distributed additive background noise assuming binary phase shift keying modulation scheme and obtains a numerically computable expression of the analytical average bit error rate.
Journal ArticleDOI

PLC Performance Analysis Assuming BPSK Modulation Over Nakagami- $m$ Additive Noise

TL;DR: A maximum likelihood receiver of binary phase shift keying signals over Nakagami-m distributed additive noise in power line communication system is derived.
Journal ArticleDOI

BER Performance of QPSK-Transmitted Signal for Power Line Communication under Nakagami-like Background Noise

TL;DR: In this paper, the authors compared the analytical and simulated BER (bit error rate) performances of QPSK (quadrature phase shift keying) transmission system with Gray encoding.

BER Performance of Binary Transmitted Signal for Power Line Communication under Nakagami-like Background Noise

TL;DR: The analytical and simulated BER (bit error rate) performances of QPSK (quadrature phase shift keying) transmission system with Gray encoding are compared and it is verified that the analyzed and simulated performances are well matched for different values of m.
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