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Asynchronous and cyclostationary impulsive noise can severely impact thebit-error-rate (BER) of OFDM-based powerline communication systems. In thispaper, we analyze an adaptive nonlinear analog front end filter that mitigatesvarious types of impulsive noise without detrimental effects such asself-interference and out-of-band power leakage caused by other nonlinearapproaches like clipping and blanking. Our proposed Adaptive NonlinearDifferential Limiter (ANDL) is constructed from a linear analog filter byapplying a feedback-based nonlinearity, controlled by a single resolutionparameter. We present a simple practical method to find the value of thisresolution parameter that ensures the mitigation of impulsive without impactingthe desired OFDM signal. Unlike many prior approaches for impulsive noisemitigation that assume a statistical noise model, ANDL is blind to the exactnature of the noise distribution, and is designed to be fully compatible withexisting linear front end filters. We demonstrate the potency of ANDL bysimulating the OFDM-based narrowband PLC compliant with the IEEE standards. Weshow that the proposed ANDL outperforms other approaches in reducing the BER inimpulsive noise environments.

Performance of Analog Nonlinear Filtering for Impulsive Noise Mitigation in OFDM-based PLC Systems