Title :
Fault tolerant FIR adaptive filters with improved convergence behavior
Author :
Schnaufer, Bernard A. ; Jenkins, W. Kenneth
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
The convergence behavior of a new fault tolerant finite impulse response (FIR) adaptive filter (FTAF) is analyzed in both the fault-tree case and after coefficient faults have occurred. The analysis is based on examining the eigenvalues of the autocorrelation matrix formed from the input signals to the functional adaptive coefficients. The dependence of the post-fault convergence rate on the order of the FTAF, as well as on the choice of the transform matrix, is explained. Two alternative structures are presented which have improved convergence behavior
Keywords :
FIR filters; adaptive filters; circuit reliability; convergence; eigenvalues and eigenfunctions; filtering theory; matrix algebra; FIR adaptive filters; autocorrelation matrix; coefficient faults; convergence behavior; eigenvalues; fault tolerant filters; fault-tree case; finite impulse response; functional adaptive coefficients; post-fault convergence rate; transform matrix; Adaptive filters; Autocorrelation; Convergence; Eigenvalues and eigenfunctions; Equations; Fault tolerance; Finite impulse response filter; Least squares approximation; Signal analysis; Transforms;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393863
