Title :
Finite impulse response estimator (FIRE)
Author :
Kim, Kwang ; Shafai, Bahram
Author_Institution :
Mitre Corp., Bedford, MA, USA
fDate :
9/1/1995 12:00:00 AM
Abstract :
FIRE is an optimal filter structure combining a deterministic digital filter and a stochastic filter. A model of the system is described by a stale equation and the output of the system is modeled by an FIR filter. This integrated structure has demonstrated the capability of processing signals contaminated by deterministic band-limited harmonic noises as well as random Gaussian noises. This article shows the derivation of FIRE and provides the simulation results for its tracking application
Keywords :
FIR filters; Gaussian noise; digital filters; filtering theory; harmonics; signal processing; FIR filter; FIRE; deterministic band-limited harmonic noises; deterministic digital filter; finite impulse response estimator; integrated structure; optimal filter structure; random Gaussian noises; signal processing; simulation results; stochastic filter; tracking application; Digital filters; Equations; Filtering; Finite impulse response filter; Fires; Gaussian noise; Nonlinear filters; Signal processing; State estimation; Stochastic resonance;
Journal_Title :
Signal Processing, IEEE Transactions on
