Summary: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. XX, NO. XX, MONTH 2011 1
A Sparsity-Aware Approach for NBI Estimation in
Ahmad Gomaa, Student Member, IEEE, and Naofal Al-Dhahir, Fellow, IEEE
Abstract--In this paper, we present a novel approach based
on compressive sensing theory to estimate and mitigate asyn-
chronous narrow-band interference (NBI) in orthogonal fre-
quency division multiplexing systems with multiple transmit
and/or multiple receive antennas. We consider the practical
scenarios where one or multiple asynchronous NBI signals
experience fast fading and/or frequency-selective fading channels.
Furthermore, we propose a novel technique for estimating the
desired signal's channel in the presence of unknown NBI. Our
approach does not require any prior information about the NBI.
Simulation results demonstrate the effectiveness of our proposed
techniques in mitigating NBI and approaching the interference-
free performance limit over practical ranges of NBI power levels,
spectral widths, and mobility levels.
Index Terms--Narrow-band interference (NBI), OFDM, com-
pressive sensing, sparsity, MIMO.