Channel Estimator and Symbol Detector for OTFS Systems Impaired by Impulsive Noise

The most widely used conventional message-passing detector (MPD) requires channel state information and delivers suboptimal performance for orthogonal time frequency space (OTFS) systems in the presence of impulsive noise (IN). To circumvent this limitation, in this letter, we propose a novel
$l_{0}$
-norm constrained maximum Versoria criterion (
$l_{0}$
-MVC) based channel estimator for the OTFS systems impaired by IN with an optimal adaptive tuning of the sparsity regularization parameter. Furthermore, we propose a robust message-passing based on the maximum Versoria criterion (MP-MVC) for OTFS symbol detection in the presence of IN. Analytical and simulation results indicate that the proposed
$l_{0}$
-MVC channel estimator and MP-MVC symbol detector outperforms the existing state-of-the-art approaches.