An Eigenvalue-Based Multi-Antenna RFI Detection Algorithm

Radio frequency interference (RFI) is being common in both satellite and terrestrial communication systems. To detect it efficiently, this paper proposes, analyzes, and evaluates the utilization of eigenvalue-based blind RFI detector for single-input multiple-output systems. Simulations corroborate that the proposed detector performs as good as a generalized likelihood ratio test (GLRT) detector and a matched subspace detector, respectively, fed with the knowledge of the signal of interest (SOI) channel, and of the SOI and RFI channels even under sample starved settings. It is to be noted that such performance reveals the attractiveness of the eigenvalue-based RFI detector for real-time applications.