Robust Expectation Propagation Detector in Impulsive Noise Channel

Abstract

In this work, we propose a robust expectation propagation (REP) detector for a system contaminated with impulsive noise. The core idea of the REP is to apply a disperse transformation to the received signal and an associated channel sparsification operation. The proposed disperse transformation distributes the impulsive noise component to multiple physical resource elements. The transformed impulsive noise exhibits greater Gaussianity and better matches the Gaussian assumption of the EP algorithm. The associated channel sparsification can alleviate the adverse effects of deleterious message propagation caused by impulsive noise during the iterative process. Simulation results demonstrate that the proposed REP detector exhibits greater resilience to impulsive noise than the classical EP detector, especially for systems with a high probability of impulsive noise occurrence and/or high-order modulation.