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A Novel Channel Estimation Method for Power Line Communications

Mohammad Asadpour. Published in Signal Processing.

Communications on Applied Electronics
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Mohammad Asadpour
10.5120/cae2017652722

Mohammad Asadpour. A Novel Channel Estimation Method for Power Line Communications. Communications on Applied Electronics 7(10):21-27, December 2017. BibTeX

@article{10.5120/cae2017652722,
	author = {Mohammad Asadpour},
	title = {A Novel Channel Estimation Method for Power Line Communications},
	journal = {Communications on Applied Electronics},
	issue_date = {December 2017},
	volume = {7},
	number = {10},
	month = {Dec},
	year = {2017},
	issn = {2394-4714},
	pages = {21-27},
	numpages = {7},
	url = {http://www.caeaccess.org/archives/volume7/number10/785-2017652722},
	doi = {10.5120/cae2017652722},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

High speed data can be transmitted through power line channel based on orthogonal frequency division multiplexing scheme. Power line is a multipath fading and frequency selective channel which has been contaminated by impulsive noise. As a result, these deficiencies cause more bit errors and influence the quality of channel estimation. In this article, an efficient channel estimation method based on Bayesian learning is presented. A new kernel function as well as proper hyper-parameters in relevance vector machine is used to estimate the impulse response of power line communication channel. The bit error rate performance for hard and soft decisions is evaluated and compared. The obtained results confirm the robustness of our proposed method against to critical effects of impulsive noise and multipath as well as low computational complexity.

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Keywords

Coding, impulsive noise, multipath, orthogonal frequency division multiplexing (OFDM), power line communication, relevance vector machine (RVM).