Paper Info
Title
Reconstruction of the samples corrupted with impulse noise in multicarrier systems
Abstract
This paper addresses estimation of the signal samples corrupted with impulse noise in multicarrier systems. The main contribution in our work is application of the well known Bussgang theorem for developing the explicit expression for estimation of the signal samples that are corrupted with impulse noise. In the presented analysis, estimation measure based on minimizing mean square error (MMSE), has been considered. Simulation results show that MMSE measure obtained by the proposed method reduces symbol error rate (SER) for the given number of iterations in comparison with the standard approach without estimation. Simulation results show very good agreement with the results of the theoretic analysis.
Year
DOI
Venue
2009
10.1109/WCNC.2009.4917935
WCNC
Keywords
Field
DocType
symbol error rate,estimation measure,bussgang theorem,signal sample,theoretic analysis,paper addresses estimation,simulation result,impulse noise,multicarrier system,mean square error,mmse measure,estimation,simulation,noise,ofdm,gaussian noise,frequency division multiplexing,signal to noise ratio,iterative methods,signal reconstruction
Iterative method,Computer science,Signal-to-noise ratio,Bussgang theorem,Algorithm,Mean squared error,Real-time computing,Impulse noise,Statistics,Gaussian noise,Signal reconstruction,Orthogonal frequency-division multiplexing
Conference
ISSN
Citations 
PageRank 
1525-3511
0
0.34
References 
Authors
9
2
Name
Order
Citations
PageRank
Josko Radic1215.28
Nikola Rozic2348.14