Title :
A blind approach to Hammerstein model identification
Author :
Bai, Er-Wei ; Fu, Minyue
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
fDate :
7/1/2002 12:00:00 AM
Abstract :
This paper discusses the Hammerstein model identification using a blind approach. By fast sampling at the output, it is shown that identification of the linear part can be achieved based only on the output measurements that makes the Hammerstein model identification possible without knowing the structure of the nonlinearity and the internal variables
Keywords :
identification; nonlinear systems; signal sampling; Hammerstein model identification; IIR system; blind system identification; fast output sampling; linear part identification; nonlinear system; nonsampled discrete Hammerstein systems; numerical simulation; output measurements; signal processing; Communication system control; Convergence; Iterative methods; Least squares methods; Linear systems; Parameter estimation; Process control; Sampling methods; Signal processing; System identification;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2002.1011202
