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Correction Impulse Method for Turbo Decoding over Middleton Class-A Impulsive NoiseTRIFINA, L. , TARNICERIU, D. , ANDREI, M. |
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Author keywords
correction impulse method, error-correcting codes, error-floor, Middleton Class-A impulsive noise, turbo codes
References keywords
turbo(13), decoding(6), codes(6), communications(5), performance(4), noise(4), error(4), electromagnetic(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2016-11-30
Volume 16, Issue 4, Year 2016, On page(s): 71 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.04011
Web of Science Accession Number: 000390675900011
SCOPUS ID: 85007552103
Abstract
The correction impulse method (CIM) is very effective to achieve low error rates in turbo decoding. It was applied for transmission over Additive White Gaussian Noise (AWGN) channels, where the correction impulse value must be a real number greater than the minimum distance of the turbo code. The original version of CIM can not be used for channels modeled as Middleton additive white Class-A impulsive noise (MAWCAIN), because of nonlinearity of channel reliability. Thus, in this paper we propose two ways to modify the method such that it improves the system performances in the case of aforementioned channels. In the first one, the value of the correction impulse is chosen to maximize the channel reliability. It depends on the signal to noise ratio (SNR) and the error rates are significantly improved compared to those obtained by using the correction impulse value applied for AWGN channels. The second version is based on the least squares method and performs an approximation of the correction impulse. The approximated value depends on the SNR and the parameter A of the MAWCAIN model. The differences between the error rates obtained by the two proposed methods are negligible. |
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[1] A Survey on Impulsive Noise Models Removal Techniques Based on Adaptive Filter in ECG Signal, Hamlili, Heyem, Kameche, Samir, Abdelmalek, Abdelhafid, 2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS), ISBN 978-1-5386-7868-8, 2018.
Digital Object Identifier: 10.1109/ICECOCS.2018.8610610 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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