Abstract
In this correspondence, an efficient clipping noise recovery method using reliability-based compressed sensing (CS) is proposed for orthogonal time frequency space modulation with iterative clipping and filtering. Concretely, the message passing algorithm is first used to acquire the hard decision of transmit signal, along with the corresponding reliability. Then, an efficient method to determine the reliable observations of clipping noise is presented by utilizing the reliable hard decision signals and the sparsity of the equivalent delay-Doppler channel. Finally, from these reliable observations, the clipping noise can be recovered by CS techniques through utilizing its sparsity in the time-domain. Simulation results show that the proposed method can recover the clipping noise efficiently and thus improve the bit-error-rate performance significantly.
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