• Aug 09, 2018 News![CFP] The annual meeting of IJFCC Editorial Board, ICCTD 2019, will be held in Prague, Czech Republic during March 2-4, 2019.   [Click]
  • Aug 09, 2018 News!IJFCC Vol. 6, No. 1-No. 3 has been indexed by EI (Inspec).   [Click]
  • Dec 24, 2018 News!The papers published in Vol.7, No.1-No.2 have all received dois from Crossref.
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
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).


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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