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.
