Recursive Successive Over-Relaxation Algorithm for Adaptive Filtering
94-99
34.Cnf-453 Paper View Page
Title
Recursive Successive Over-Relaxation Algorithm for Adaptive Filtering
Authors
Abstract
A new recursive algorithm is introduced to adjust the parameters of an adaptive channel equalizer based on the use one cycle Successive Over-Relaxation (SOR) iteration between two consecutive data samples. The presented algorithm is called the Recursive Successive Over-Relaxation (RSOR) algorithm. In addition, a stochastic convergence analysis of the RSOR algorithm is performed and it is shown that the proposed algorithm is an unbiased parameter estimator for optimum Wiener solution of normal equation. The performance of the RSOR algorithm in terms of its convergence rate and computational complexity is examined using computer simulations and compared with the widely used adaptive algorithms. The computer simulations show that the new algorithm, which is proposed as an intermediate method, has several advantages over the widely used algorithms, including a better convergence rate and less computational complexity.
5th Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA 2012)
Congress
2012 Global Congress on Communications, Computers and Applications (GC-CCA 2012), 12-14 October 2012, Istanbul, Turkey
Pages
94-99
Topics
Adaptive Signal Processing Signal Processing for Communications
ISSN
2227-331X
DOI
BibTeX
@inproceedings{453CCA2012,
title={Recursive Successive Over-Relaxation Algorithm for Adaptive Filtering},
author={},
booktitle={2012 Global Congress on Communications, Computers and Applications (GC-CCA 2012)},
year={2012},
pages={94-99},
doi={}},
organization={Mosharaka for Research and Studies}
}
