Compressive-Sensing-Based Approach for NBI Cancellation in MIMO-OFDM

We propose two novel algorithms based on compressive sensing theory to estimate and cancel narrow band interference (NBI) and estimate the channel in the presence of NBI for multiple-antenna orthogonal frequency division multiplexing systems. We also consider the case of multiple asynchronous NBI signals experiencing unknown independent frequency- selective fading channels. Simulation results demonstrate the effectiveness of our proposed algorithm in mitigating NBI and approaching the interference-free performance limit over practical ranges of NBI power and spectral widths.