2013 15th IEEE International Conference on Communication Technology 2013
DOI: 10.1109/icct.2013.6820377
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MIMO-OFDM system with impulsive noise reduction technique based on auto level Selection Mechanism

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Cited by 3 publications
(2 citation statements)
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“…However, there is a strong correlation between the GSNR value and the optimal kernel size. Since GSNR is related to the γ parameter of the impulsive noise model, as indicated by Equation (16), this parameter must be estimated as accurately as possible at the receiver.…”
Section: A Kernel Size Adjustmentmentioning
confidence: 99%
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“…However, there is a strong correlation between the GSNR value and the optimal kernel size. Since GSNR is related to the γ parameter of the impulsive noise model, as indicated by Equation (16), this parameter must be estimated as accurately as possible at the receiver.…”
Section: A Kernel Size Adjustmentmentioning
confidence: 99%
“…Recently, some works have investigated the MIMO transmission technique in non-Gaussian scenarios. The authors in [16] presented an adaptive reception technique based on the use of an impulsive noise level detector. On the other hand, the work developed in [17] introduces an alternative solution to the same problem using an adaptive reception technique through adaptive recursive least mean square (RLS), adaptive normalized least mean square (NLMS), and variable stepsize adaptive normalized least mean (VSNLMS) algorithms, which aim to minimize the effect of impulsive noise on the system performance.…”
Section: Introductionmentioning
confidence: 99%