Study on decoupled identification method for nonlinear Volterra system

In allusion to the decoupled identification problem for nonlinear Volterra system, the fully decoupled identification problem of Volterra series model for noise case is studied in this paper. A fully decoupled adaptive identification algorithm for Volterra system is presented by combining the total least squares technique and the fully decoupled identification idea. Comparing with the LMS fully decoupled identification algorithm, the presented algorithm has better robust anti-noise performance. Finally, simulation results indicate that the presented algorithm is efficient.