PERFORMANCE IMPROVEMENTSOF ADAPTIVE FIR EQUALIZER USINGMODIEFED VERSION OF VSSLMS ALGORITHM

In this paper possible improvements in the performance of adaptive Linear Equalizer (LE) and Decision Feed Back Equalizer (DFE) are reported. A modified Least Mean Square (LMS) algorithm incorporating a recursively adjusted adaptation step size based on rough estimate of the performance surface gra...

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Main Author: Thamer M.J. Al-anbaky
Format: Article
Language:English
Published: University of Baghdad 2007-12-01
Series:Journal of Engineering
Online Access:https://www.joe.uobaghdad.edu.iq/index.php/main/article/view/3232
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author Thamer M.J. Al-anbaky
author_facet Thamer M.J. Al-anbaky
author_sort Thamer M.J. Al-anbaky
collection DOAJ
description In this paper possible improvements in the performance of adaptive Linear Equalizer (LE) and Decision Feed Back Equalizer (DFE) are reported. A modified Least Mean Square (LMS) algorithm incorporating a recursively adjusted adaptation step size based on rough estimate of the performance surface gradient square is proposed. The first proposed algorithm was called Adjusted Step Size LMS (ASSLMS) which used single adjusted step size for all weight coefficients. The second proposed algorithm was called Distributed Step Size LMS algorithm (DSSLMS). This algorithm (i.e. DSSLMS) will distribute the resultant variable step size in an exponential form among all weights of the adaptive filter such that each weight coefficient has its own step size. These proposed algorithms through computer simulation results shows favorable performance than traditional LMS algorithm and another Variable Step Size LMS (called VSSLMS) algorithm in terms of fast convergence time, less miss-adjustment in steady state, and good tracking ability.
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spelling doaj.art-b6000a36ff4f440db170966e9e1abd8c2024-03-10T09:51:55ZengUniversity of BaghdadJournal of Engineering1726-40732520-33392007-12-01130410.31026/j.eng.2007.04.04PERFORMANCE IMPROVEMENTSOF ADAPTIVE FIR EQUALIZER USINGMODIEFED VERSION OF VSSLMS ALGORITHMThamer M.J. Al-anbaky In this paper possible improvements in the performance of adaptive Linear Equalizer (LE) and Decision Feed Back Equalizer (DFE) are reported. A modified Least Mean Square (LMS) algorithm incorporating a recursively adjusted adaptation step size based on rough estimate of the performance surface gradient square is proposed. The first proposed algorithm was called Adjusted Step Size LMS (ASSLMS) which used single adjusted step size for all weight coefficients. The second proposed algorithm was called Distributed Step Size LMS algorithm (DSSLMS). This algorithm (i.e. DSSLMS) will distribute the resultant variable step size in an exponential form among all weights of the adaptive filter such that each weight coefficient has its own step size. These proposed algorithms through computer simulation results shows favorable performance than traditional LMS algorithm and another Variable Step Size LMS (called VSSLMS) algorithm in terms of fast convergence time, less miss-adjustment in steady state, and good tracking ability. https://www.joe.uobaghdad.edu.iq/index.php/main/article/view/3232
spellingShingle Thamer M.J. Al-anbaky
PERFORMANCE IMPROVEMENTSOF ADAPTIVE FIR EQUALIZER USINGMODIEFED VERSION OF VSSLMS ALGORITHM
Journal of Engineering
title PERFORMANCE IMPROVEMENTSOF ADAPTIVE FIR EQUALIZER USINGMODIEFED VERSION OF VSSLMS ALGORITHM
title_full PERFORMANCE IMPROVEMENTSOF ADAPTIVE FIR EQUALIZER USINGMODIEFED VERSION OF VSSLMS ALGORITHM
title_fullStr PERFORMANCE IMPROVEMENTSOF ADAPTIVE FIR EQUALIZER USINGMODIEFED VERSION OF VSSLMS ALGORITHM
title_full_unstemmed PERFORMANCE IMPROVEMENTSOF ADAPTIVE FIR EQUALIZER USINGMODIEFED VERSION OF VSSLMS ALGORITHM
title_short PERFORMANCE IMPROVEMENTSOF ADAPTIVE FIR EQUALIZER USINGMODIEFED VERSION OF VSSLMS ALGORITHM
title_sort performance improvementsof adaptive fir equalizer usingmodiefed version of vsslms algorithm
url https://www.joe.uobaghdad.edu.iq/index.php/main/article/view/3232
work_keys_str_mv AT thamermjalanbaky performanceimprovementsofadaptivefirequalizerusingmodiefedversionofvsslmsalgorithm