Volterra models structure identification using a symmetric input

In this paper, we address the problem of structure identification of Volterra model driven by a binary symmetric independent and identically distributed sequence. The proposed method consists of estimating the model order and the memory length of each kernel. It uses crosscumulants of input-output sequence. Simulations are performed on four models having different orders and kernel memory lengths to demonstrate the advantages of the proposed method.