TY - JOUR AU - Koeppl, H. AU - Josan, A.S. AU - Paoli, G. AU - Kubin, G. PY - 2004 DA - 2004/09/29 TI - The Cramer-Rao Bound and DMT Signal Optimisation for the Identification of a Wiener-Type Model JO - EURASIP Journal on Advances in Signal Processing SP - 642938 VL - 2004 IS - 12 AB - In linear system identification, optimal excitation signals can be determined using the Cramer-Rao bound. This problem has not been thoroughly studied for the nonlinear case. In this work, the Cramer-Rao bound for a factorisable Volterra model is derived. The analytical result is supported with simulation examples. The bound is then used to find the optimal excitation signal out of the class of discrete multitone signals. As the model is nonlinear in the parameters, the bound depends on the model parameters themselves. On this basis, a three-step identification procedure is proposed. To illustrate the procedure, signal optimisation is explicitly performed for a third-order nonlinear model. Methods of nonlinear optimisation are applied for the parameter estimation of the model. As a baseline, the problem of optimal discrete multitone signals for linear FIR filter estimation is reviewed. SN - 1687-6180 UR - https://doi.org/10.1155/S1110865704404168 DO - 10.1155/S1110865704404168 ID - Koeppl2004 ER -