Abstract
For intentional or unintentional interferens, radio frequency interference (RFI) is being prevalent in both satellite and terrestrial communications. In this regard, efficient RFI excision algorithms would have a paramount importance. Having relied on recent advances in tensor-based signal processing, the paper proposes oversampled multi-linear subspace estimation and projection (o-MLSEP) algorithm for efficient multi-interferer RFI (MI-RFI) excision in single-input multiple-output (SIMO) systems. Simulations corroborate that o-MLSEP significantly improves MLSEP as the oversampling factor gets larger.
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