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Lookup NU author(s): Zhen Mei,
Dr Martin Johnston,
Dr Stephane Le Goff,
Dr Li Chen
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In conventional communication systems, the additive noise at the receiver is usually assumed to be Gaussian distributed. However, this assumption is not always valid and examples of non-Gaussian distributed noise include power line channels, underwater acoustic channels and man-made interference. Therefore it is important to design a receiver to mitigate the effects of impulsive noise. This paper proposes a new low-complexity receiver design that closely approximates the optimal log-likelihood ratio demapper and performs well when the channel varies from slightly impulsive to very impulsive. Furthermore, we present a density evolution analysis and simulation results of (3, 6) LDPC code on additive impulsive noise channels, with symmetric alpha-stable probability density functions, employing different receivers to overcome the impulsive nature of the channels. Each receiver calculates or approximates the log-likelihood ratios of the received symbols, depending on whether they are optimal or sub-optimal respectively. The threshold signal-to-noise ratios of the LDPC code are derived to determine the start of the waterfall region of the bit-error rate performance and simulation results are presented to validate our density evolution analysis.
Author(s): Mei Z, Johnston M, Le Goff S, Chen L
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2015 IEEE/CIC International Conference on Communications in China (ICCC)
Year of Conference: 2015
Print publication date: 01/01/2015
Online publication date: 07/04/2016
Acceptance date: 01/01/1900
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