doi: 10.18178/ijfcc.2015.4.5.413
Impulsive Noise Reduction Method Based on Clipping and Adaptive Filters in AWGN Channel
Sumrin M. Kabir
,
,
- Department of Electrical Engineering, College of Electrical and Mechanical Engineering (CEME), National University of Science and Technology (NUST), Islamabad, Pakistan.
Abstract
Impulsive noise is a man-made non-Gaussiannoise that may destroy the information badly. Previously,methods have been investigated to mitigate this noise. In thispaper, an adaptive filter based impulsive noise cancellationtechnique is introduced, comprised of Normalized Least MeanSquare (NLMS) and Recursive Least Square (RLS) algorithmsalong with clipping method. The proposed scheme is tested onbinary data modulated over different types of constellationschemes. The performance of this method is quite better thanthe previously existing techniques in terms of bit error rates(BER) for different modulation schemes namely QPSK, 16QAM and 32 QAM. The convergence characteristics aredemonstrated by the simulation results comparing their BitError Rates (BER) under same parameters.
Keywords
- Impulsive noise
- clipping
- adaptive filter
- NLMS
- RLS
- QPSK
- 16QAM
- 32QAM
- BER
How to Cite
Sumrin M. Kabir, Alina Mirza, and Shahzad A. Sheikh, "Impulsive Noise Reduction Method Based on Clipping and Adaptive Filters in AWGN Channel," International Journal of Future Computer and Communication, vol. 4, no. 5, pp. 341-345, 2015. https://doi.org/ 10.18178/ijfcc.2015.4.5.413
Copyright & License
Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).