Title
An Adaptive Equalizer Using A Stabilized Extended Kalman Filter
Keywords
Adaptive equalization; Kalman filtering; Stochastic Newton algorithm
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 tuning procedures, additional memory space and computation time. © 2006 IEEE.
Publication Date
12-1-2006
Publication Title
IEEE International Symposium on Industrial Electronics
Volume
1
Number of Pages
479-484
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ISIE.2006.295642
Copyright Status
Unknown
Socpus ID
53649095197 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/53649095197
STARS Citation
Rahrooh, Alireza, "An Adaptive Equalizer Using A Stabilized Extended Kalman Filter" (2006). Scopus Export 2000s. 7623.
https://stars.library.ucf.edu/scopus2000/7623