Deep Clipping for Impulsive Noise Mitigation in OFDM-Based Power-Line Communications

Abstract

Nonlinear preprocessors, including clipping, blanking, and joint blanking/clipping have been proposed to be employed in orthogonal frequency-division multiplexing systems for mitigating the impulsive noise in power-line communications. In this paper, we propose using a new variant of nonlinear preprocessor, namely, deep clipping, to mitigate the impulsive noise. In contrast to clipping, blanking, and joint blanking/clipping, where one or two thresholds is used to detect if the impulsive noise occurs, and if the impulsive noise occurs how to handle it, deep clipping is characterized by two alternative parameters, namely, a threshold and a depth factor. By optimizing the two parameters, we find that deep clipping achieves better signal-to-noise ratio (SNR) performance than clipping, blanking, and joint blanking/clipping. In addition, we present a mathematical expression for deep clipping and show that the SNR expressions regarding conventional clipping, blanking, and joint blanking/clipping can be easily obtained by using our analytical methods.Index Terms-Deep clipping, impulsive noise, orthogonal frequency-division multiplexing (OFDM), power-line communications (PLC).

Efficient Impulsive Noise Mitigation for OFDM Systems Using the Alternating Direction Method of Multipliers

“…Letî be a solution to the problem in (9). The impacts of the impulsive noise can be removed by subtraction as follows:…”

“…In this work, we focus on the mitigation of asynchronous impulsive noise, for which the common methods include clipping or blanking [8][9][10][11]. In [8,9], the optimal clipping and blanking thresholds are derived in closed-form under the conditions that the occurrence probability of impulsive noise and the noise power can be perfectly estimated at the receiver.…”

“…In [8,9], the optimal clipping and blanking thresholds are derived in closed-form under the conditions that the occurrence probability of impulsive noise and the noise power can be perfectly estimated at the receiver. In [10], the method of moments (MoM) is used to estimate the parameters and update adaptively the thresholds on assuming that the statistics of impulsive noise maintains stationary in a long period.…”

Asynchronous impulsive noise mitigation based on subspace support estimation for PLC systems

“…Among those, in this paper, we consider the Bernoulli Gaussian (BG) Noise model, which generates the asynchronous IN as a random process with two states (one state when IN is active and another state when there is no occurrence of IN). This model has a simple mathematical interpretation and has widely been considered in the literature as a model of asynchronous IN occurring in PLC systems [5], [6], [8].…”

Cascading polar coding and LT coding for radar and sonar networks

“…[19,20]. Unfortunately, it is still infeasible to detect the impulse noise effectively and timely in the time domain, due to the instantaneous nature of impulsive noises and the unaffordable computational and hardware complexity.…”