The Mitigation of the Effect of Impulsive Noise in OFDM-PLC Systems

This paper proposes an new iterative method to recover the signals corrupted by impulsive noise in MIMO-OFDM systems over In-home PLC. In this iterative technique, preliminary decisions are made to get the impulsive noise detection algorithm for finding the locations and amplitudes of the impulses, and then signal estimation block for approximation the signals for two-branch 2*2 MIMO-OFDM at the receiver. In each iteration, this signals approximation are used to improve the noise estimate. After impulsive noise detection, an comparison decision algorithm is employed to compare two noises estimated, and decision for cancel impulsive noise and improve Mitigation of the impulsive noise algorithm. This method use an adaptive threshold and soft decision to estimating and canceling the impulsive noises. Then, by using ML detection, an approximation of signal is obtained. As this impulsive noise detection , comparison decision and ML detection loop continues, we get better approximates of the signal. The algorithm is analyzed and verified by computer simulations. A comparison between the performance of the different systems is presented and discussed. The Simulation results confirm the robustness of performance of the proposed algorithm. Original Article: Received 22 Sep. 2014 Accepted 25 Nov. 2014 Published 30 Mar. 2015