FIR system identification using higher-order statistics
Kamel Abederrahim, Houda Mathlouthi, Faouzi M’Sahli · 2009
In this paper, new approaches for the identification of FIR systems using HOS are proposed. The unknown model parameters are obtained using optimization algorithms. In fact, the proposed method consists first in defining an optimization problem and second in using an appropriate algorithm to resolve it. Moreover, we develop a new method for estimating the order of FIR Models using only the output cumulants. The results presented in this paper illustrate the performance of our methods and compare them with a range of existing approaches.