Abstract
Impulsive noise severely affects the performance of wireless communication systems. In orthogonal frequency division multiplexing (OFDM) systems, detecting impulsive interference is challenging since both OFDM signals and impulsive noise follow Gaussian distributions. This paper proposes windowing nonlinearity scheme to detect and remove the over-sampled impulsive interference in OFDM systems. The analysis of the false detection probability (FDP) and successful detection probability (SDP) is given. The results indicate that the proposed scheme detects impulsive noise efficiently. In addition, the closed-form expressions for the FDP and SDP of blanking nonlinearity scheme which is widely used to remove impulsive interference are also derived.
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