Impulsive noise mitigation using an adaptive WMA-MVDR estimator for array based wireless communications

In this paper, we propose an adaptive WMA-MVDR estimator for mitigating impulsive noise in a multiple-access interference (MAI) environment. A time-domain Bernoulli-Gaussian process is used to model the impulsive noise. The estimator comprises two stages of processing: an adaptive window-mean amplitude (WMA) filter and a modified MVDR (Minimum Variance Distortionless Response) estimator. Numerical results show that the bit error rate (BER) performance of the proposed algorithm outperforms some existing estimators under the impulsive noise environment.