Title :
A fault tolerant FIR adaptive filter based on the FFT
Author :
Schnaufer, Bernard A. ; Jenkins, W. Kenneth
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
Adaptive fault tolerance has been applied to adaptive filters to provide fault tolerance at low hardware cost. However, these filter structures have suffered from poor post-fault convergence characteristics. Also, the computational burden required by these filters has not been properly addressed. In this paper, a new fault tolerant FIR adaptive filter based on the FFT is introduced. This filter structure has superior convergence behavior over previously introduced structures, and since it is based on the FFT, it is efficient to compute, as well as conducive to an additional degree of fault tolerance capability. Computer simulations are given to demonstrate the robust performance of the new filter
Keywords :
FIR filters; adaptive filters; convergence of numerical methods; fast Fourier transforms; FFT; computer simulations; fault tolerant FIR adaptive filter; low hardware cost; post-fault convergence characteristics; robust performance; Adaptive filters; Computational complexity; Convergence; Costs; Equations; Fault tolerance; Fault tolerant systems; Finite impulse response filter; Hardware; Least squares approximation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.390007