A new normalized LMAT algorithm and its performance analysis ?
A new normalized LMAT algorithm is proposed. By limiting the amplitude of square of the feedback error in weight update rule, the robust performance of the proposed algorithm can be improved in impulsive noise environment. The range of the algorithm step-size is derived in detail. The performance of the NLMAT algorithm is analyzed in terms of the steady-state MSD, EMSE and MSE.
impulsive noise adaptive filter least mean absolute third algorithm normalized least mean absolute third algorithm system identification