辨识Wiener模型的一种新方法

本文提出了一种辨识Ｗｉｅｎｅｒ模型的新方法，该方法利用不同幅值的周期脉冲信号作输入辨识信号，并且获了非线性增益未知参数和线性子系统脉冲响应的强一致性估计。本文还研究了估计残差的渐近分布以及收敛速度，最后的数字仿真研究说明了该方法的有效性和实用性。

A New Method for Identificating Wiener Model

In this paper, a new identification technique is presented, which uses cyclic impulse signals with differnt amplitudes as input signals and has obtained strong consistence estimates of the unknown parameters of nonliner gain and inpulse responses of linear subsystem of Wiener model. Moreover the paper also studies the asymptotic distributions of estimation errors, and has obtained the convergence speed of errors. Finally, simulation results show that the proposd method is very efficient and practical.