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General Information
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2015 Vol.4(5): 341-345 ISSN: 2010-3751
doi: 10.18178/ijfcc.2015.4.5.413

Impulsive Noise Reduction Method Based on Clipping and Adaptive Filters in AWGN Channel

Sumrin M. Kabir, Alina Mirza, and Shahzad A. Sheikh
Abstract—Impulsive noise is a man-made non-Gaussian noise that may destroy the information badly. Previously, methods have been investigated to mitigate this noise. In this paper, an adaptive filter based impulsive noise cancellation technique is introduced, comprised of Normalized Least Mean Square (NLMS) and Recursive Least Square (RLS) algorithms along with clipping method. The proposed scheme is tested on binary data modulated over different types of constellation schemes. The performance of this method is quite better than the previously existing techniques in terms of bit error rates (BER) for different modulation schemes namely QPSK, 16 QAM and 32 QAM. The convergence characteristics are demonstrated by the simulation results comparing their Bit Error Rates (BER) under same parameters.

Index Terms—Impulsive noise, clipping, adaptive filter, NLMS, RLS, QPSK, 16QAM, 32QAM, BER.

The authors are with the Department of Electrical Engineering, College of Electrical and Mechanical Engineering (CEME), National University of Science and Technology (NUST), Islamabad, Pakistan (e-mail: sumrin.mehak75@ee.ceme.edu.pk).

[PDF]

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.

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