Suppression of Impulsive Noise in Over-Sampled OFDM

Impulsive noise affects the performance of orthogonal frequency division multiplexing (OFDM) systems. In OFDM systems, detecting of impulsive interference is challenging since both OFDM signals and impulsive noise follows Gaussian distributions. This paper proposes windowing technique 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. These two techniques are tested under audio signal instead of OFDM which leads the testing easy also applicable in UWB communication and also explained the new techniques to increase the level of SDP and compared with the previous techniques.