Impulsive noise mitigation for wireless OFDM

Impulsive noise typically represents a man-made disturbance that, although it may impair any electrical device, is often neglected in the performance analysis of wireless communication systems. This paper exploits some recent results on Bayesian estimators of Gaussian sources impaired by Middleton Class-A noise, in order to investigate the usefulness of such estimators for orthogonal frequency-division multiplexing (OFDM)-based wireless communications. Specifically, this paper extends the use of minimum mean-squared error (MMSE) and maximum signal-to-noise-ratio (SNR) estimators to OFDM systems in frequency-selective fading channels, and compares the associated gain in symbol-error rate (SER) performance.