An efficient order recursive algorithm for Volterra system identification

In this paper nonlinear filtering and identification based on finite support Volterra models is considered. A set of primary signals, defined in terms of the input signal, serve for the efficient mapping of the nonlinear process to an equivalent multichannel format. An efficient order recursive method is presented for the determination of the Volterra model structure. The efficiency of the proposed methods is illustrated by simulations.