Impulsive Noise Mitigation for OFDM Systems Using the Maximum a Posteriori Probability

Aiming at the problem of impulsive noise in OFDM system, a novel impulsive noise suppression method based on maximum a posteriori criterion is proposed. Maximum optimization problem of the joint probability density function for estimation impulsive noise is established by using the maximum a posteriori criterion based on the prior information of the received signal. Due to the highly nonlinear of the problem, an alternating iterative optimization algorithm is designed by using the special structure of the log likelihood objective function. Computer simulation results show that the proposed method can effciently estimate impulsive noise and improve bit error rate performance.