Title :
Adaptive recursive least squares algorithm for joint FIR filtering and post-delay tracking in the process identification
Author :
Xingxing, Yu ; Dali, Zhang ; PingFan, Yan
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
The joint FIR filtering and post delay tracking system identification problem is considered. The input signal to the unknown system is first filtered then delayed. An adaptive recursive least squares algorithm based on fast transversal filters is developed, which improves the algorithm proposed by D. Boudreau and P. Kabal (1993) by reducing the time complexity from O(19p) to O(7p). Its convergence and delay tracking properties are demonstrated by the identification of an LPS and linearly changing delay series system
Keywords :
FIR filters; adaptive systems; computational complexity; least squares approximations; signal processing; tracking; LPS; adaptive recursive least squares algorithm; delay tracking properties; fast transversal filters; input signal; joint FIR filtering; linearly changing delay series system; post delay tracking; process identification; system identification problem; time complexity; unknown system; Adaptive filters; Delay effects; Delay estimation; Delay lines; Filtering algorithms; Finite impulse response filter; Least squares approximation; Least squares methods; Nonlinear filters; Transversal filters;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672896
