Data filtering and auxiliary model based recursive least squares estimation algorithm for OEMA systems

摘要

Based on the filtering theory and the auxiliary model identification idea, we present a filtering and auxiliary model based recursive least squares identification algorithm for an output-error moving average system. The proposed algorithm has a higher computational efficiency compared with the auxiliary model based recursive extended least squares algorithm.