Title :
A frequency domain parametric system identification algorithm for continuous-time linear filters
Author :
Yu, Chong-Gun ; Bliss, William G. ; Geiger, Randall L.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
An iterative complex least squares algorithm for frequency-domain parametric system identification has been proposed. Extensive simulation results show that this algorithm converges rapidly and attains very accurate results, even in the presence of large measurement errors. This algorithm is also robust in the presence of over-ordering effects due to parasitics, so it is possible to identify a high-order physical system with a low-order ideal model. Thus, this algorithm can be simply applied to various tuning algorithms
Keywords :
filtering and prediction theory; identification; iterative methods; least squares approximations; continuous-time linear filters; frequency domain; high-order physical system; iterative complex least squares algorithm; low-order ideal model; over-ordering effects; parametric system identification; parasitics; tuning algorithms; Active filters; Costs; Digital filters; Frequency domain analysis; Iterative algorithms; Iterative methods; Nonlinear filters; Signal processing algorithms; System identification; Time domain analysis;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176203
