Title :
An Adaptive Equalizer Using a Stabilized Extended Kalman Filter
Author_Institution :
Central Florida Univ., Orlando, FL
Abstract :
The adaptive equalizer described in this paper attempts to remove intersymbol interference in a digital communication channel. The channel is modeled as an n-tap FIR filter and the coefficients of the channel model are updated through the stochastic Newton algorithm (SNA). This particular algorithm is a stabilized version, of the extended Kalman filter (EKF) overcoming the divergence problems associated with the EKF, However, as expected, the improvement is at the expense of timing procedures, additional memory space and computation time
Keywords :
FIR filters; Kalman filters; Newton method; adaptive equalisers; digital communication; interference suppression; intersymbol interference; nonlinear filters; stochastic processes; telecommunication channels; EKF; FIR filter; adaptive equalizer; digital communication channel; divergence problems; extended Kalman filter; interference elimination; intersymbol interference; stochastic Newton algorithm; Adaptive equalizers; Adaptive filters; Application software; Convergence; Equations; Finite impulse response filter; Kalman filters; Robustness; Signal processing algorithms; Stochastic processes; Adaptive Equalization; Kalman Filtering; Stochastic Newton Algorithm;
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
DOI :
10.1109/ISIE.2006.295642