Title :
Adaptive IIR Filtering Using Input Balanced Realization
Author :
Zhi Yongfeng ; Zhang Jun
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xian, China
Abstract :
A new adaptive infinite impulse response (IIR) filter structure is proposed based on the input balanced realization. It is generated by the four-multiplier lattice structure. Consequently the controllability Grammian matrix becomes an identity matrix and the algorithm inherently guarantees that the adaptive filter will always remain stable. The simulation result shows that this new adaptive IIR filter rapidly converge to the minimum of the error surface.
Keywords :
IIR filters; adaptive filters; matrix algebra; adaptive IIR filtering; adaptive infinite impulse response filter structure; controllability Grammian matrix; four-multiplier lattice structure; identity matrix; input balanced realization; Adaptive filters; Automation; Controllability; Convergence; Filtering; Finite impulse response filter; IIR filters; Lattices; Mechatronics; Poles and zeros; Adaptive IIR filter; four-multiplier lattice structure; input balanced realization;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.130
