Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Impulsive noise in UWB systems and its suppression
Mobile Networks and Applications
Iterative decoding of codes over complex numbers for impulsive noise channels
IEEE Transactions on Information Theory
Impulsive noise suppression in OFDM-based communication systems
IEEE Transactions on Consumer Electronics
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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.