Performance Analysis of Energy-Based RFI Detector

As radio frequency interference (RFI) affects many systems operating radio frequencies, RFI detection is essential for excising such RFI efficiently. For this reason, here we investigate an energy-based RFI detector for wireless communication systems suffering from RFI. For this detector, its average probability of RFI detection is studied and approximated, and asymptotic closed-form expressions are derived. Besides, an exact closed-form expression for its average probability of false alarm is derived. Monte-Carlo simulations validate the derived analytical expressions and corroborate that the investigated energy detector (ED) outperforms a kurtosis detector (KD)—even under the scenario that KD intercepts the received signal for a longer interval—and a generalized likelihood ratio test detector (GLRT). At last, the performance of ED is also assessed using real-world RFI contaminated data.

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