Title :
A numerically stable fast transversal filter with leakage correction
Author_Institution :
Inst. fur Netzwerk-und Signaltheorie, TH Darmstadt Univ., Germany
fDate :
6/1/1995 12:00:00 AM
Abstract :
A derivation of fundamental fast transversal filter equations comes to a 7M fast RLS algorithm for system identification. Yet, this algorithm is not stable due to numerical errors resulting from implementation on a hardware with finite precision arithmetic. The known stabilization methods with feedback of numerical errors require a judicious choice of the feedback gains and depend on the properties of the exciting sequence, as simulations have shown. A new method to stabilize the algorithm is introduced that does not depend on the characteristics of the excitation signal. By inserting leakage factors in the filter equations, a steady contraction of error components is reached.<>
Keywords :
adaptive filters; error analysis; feedback; least squares approximations; recursive filters; 7M fast RLS algorithm; feedback; filter equations; finite precision arithmetic; leakage correction; numerical errors; numerically stable fast transversal filter; simulations; system identification; Arithmetic; Equations; Feedback; Forward contracts; Hardware; Least squares methods; Numerical stability; System identification; Transversal filters; Virtual manufacturing;
Journal_Title :
Signal Processing Letters, IEEE