DocumentCode
1150975
Title
A Generalization of the Normalized LMS Algorithm
Author
Nitzberg, R.
Author_Institution
General Electric Company Building 4, Room 5 Court St. Plant Syracuse, NY 13221
Issue
4
fYear
1987
fDate
7/1/1987 12:00:00 AM
Firstpage
589
Lastpage
592
Abstract
As previously shown, the normalized least mean square (NLMS)algorithm has superior convergence properties than the least meansquare(LMS) algorithm. However, the weight noise effect of the NLMS algorithm is large so that the steady state residue power islarger than that for the LMS algorithm. A generalized NLMSalgorithm is developed based upon the pseudoinverse of anestimated covariance matrix. A preliminary evaluation indicatesimproved performance can be attained but the implementationcomplexity might be high.
Keywords
Convergence; Covariance matrix; Geometry; Interference cancellation; Least squares approximation; Radar antennas; Random variables; Signal processing algorithms; Steady-state; Working environment noise;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/TAES.1987.310892
Filename
4104387
Link To Document