Blind identification of quadratic systems under i.i.d. excitation using genetic algorithms

Abstract

In this paper, a new approach to quadratic blind system identification is proposed. This approach enables a nonlinear relationship between model kernels and output cumulants up to the third order by means of Genetic Algorithm (GA). Simulation results are presented to show good performance of this approach.