Paper Info
Title
Modified LMS Algorithm for Fast Identification of Digital Channels
Abstract
In this work, a new modified LMS algorithm to adjust thecoefficients of an adaptive digital filter is presented. Starting from the basic LMS (Least Mean Square) algorithm, the modified algorithm LMSm has been conceived as to achieve-for a determined number of iterations borh properties in parallel: a faster convergence rate and a smaller final quadratic error then the LMS and nLMS algorithms. The underlaying idea was its application to digital communication channel identification and later equalization which requires a high frequency of operation. These properties have been analytically derived and its behavior has extensively been verified. Both, analytical and experimental results obtained by using the LMSm algorithm in standard digital channel models, show the following important improvements: a higher velocity of convergence and a smaller mean squared error between the model identified by the system. and the real channel parameters
Year
DOI
Venue
2005
10.1109/CONIEL.2005.50
CONIELECOMP
Keywords
Field
DocType
nlms algorithm,real channel parameter,standard digital channel model,modified algorithm,fast identification,digital channels,adaptive digital filter,convergence rate,basic lms,new modified lms algorithm,modified lms algorithm,digital communication channel identification,lmsm algorithm,mean square error,high frequency,adaptive filters,digital filters,lms algorithm,digital filter,iterative methods,least mean square
Convergence (routing),Least mean squares filter,Digital filter,Equalization (audio),Control theory,Computer science,Mean squared error,Communication channel,Electronic engineering,Rate of convergence,Adaptive filter
Conference
ISSN
ISBN
Citations 
2474-9036
0-7695-2283-1
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Wenceslao Novotny100.34
Hilda N. Ferrao200.34
Jorge O. Perez300.34
Claudia F. Sayago400.34