摘要
利用输出比输入快速采样方法研究ARMA模型的盲辨识问题,提出了最小二乘盲辨识方法。通过选择适当的快采样率及归一化系统模型参数之后,仅利用快采样得到的输出信号实现了系统模型参数的估计。仿真例子表明所提盲辨识方法的有效性。
This paper studies the blind identification problem for the ARMA module by sampling the output with a higher frequency than that of the input and presents a least square identification algorithm.By properly choosing the sampling rate and normalizing the model parameters,the system parameters can be estimated only from the fast output measurements.The simulation results validate the algorithms proposed.
出处
《安阳工学院学报》
2010年第4期48-50,58,共4页
Journal of Anyang Institute of Technology
关键词
盲辨识
参数估计
快采样
最小二乘
blind identification
parameter estimation
fast sampling
least squares
