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Performance Analysis of Turbo-Coded Decode-and-Forward Relay Channels with Middleton Class-A Impulsive NoiseANDREI, M. , TRIFINA, L. , TARNICERIU, D.
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decode-and-forward, impulsive noise, iterative decoder, relay channels, turbo codes
communications(9), turbo(6), noise(6), cooperative(6), channel(6), relay(5), performance(4), impulsive(4), decode(4), coded(4)
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About this article
Date of Publication: 2014-11-30
Volume 14, Issue 4, Year 2014, On page(s): 35 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.04006
Web of Science Accession Number: 000348772500006
SCOPUS ID: 84921649589
Relays are used to improve wireless network performances. In this paper, the decode-and-forward relaying technique is used to achieve spatial diversity. We considered a system with a symmetric turbo coded relay and its three channels (source-relay, source-destination and relay-destination) affected by impulsive noise. The statistic model used for noise was Middleton additive white Class-A. The performances are evaluated by investigating the system behavior when at destination the traditional iterative decoder and the heuristically modified iterative decoder proposed by Huynh are used. The simulations were made for different parameter values of the noise model and they showed that in high impulsive noise conditions, the relay system offers better performance than the direct link. However, when the source-destination channel is weak, the traditional iterative decoder assures an additional gain than the heuristically modified one. When the Gaussian component is dominant, the relay system ensures better performances, but only at high values of Signal-to-Noise Ratio. In this case, the heuristically modified decoder, with conveniently chosen value for alpha, is better than the traditional one in terms of bit error rate.
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 Correction Impulse Method for Turbo Decoding over Middleton Class-A Impulsive Noise, TRIFINA, L., TARNICERIU, D., ANDREI, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.04011 [CrossRef] [Full text]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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