Frequency-weighting model identification with an adaptive ARMA lattice filter

A method for model identification with frequency weighting using an adaptive autoregressive moving average (ARMA) lattice filter is proposed. Based on this algorithm, the accuracy of the model identification can be higher in focused frequency bands than in other bands. The proposed algorithm contains two algorithms. One is a realization algorithm of an ARMA lattice filter with frequency weighting. The other is an algorithm which computes ARMA parameters from the coefficients of the ARMA lattice filter. Simulation results demonstrate that the proposed filter has low sensitivity