Least Squares Blind Identification for ARMA Module Using Fast Sampling Outputs
Fei Shang · Journal of Anyang Institute of Technology · 2010
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.