NDLI: Tracking analysis results for NLMS and APA

Content Provider	IEEE Xplore Digital Library
Author	Sankaran, Sundar G. Beex, A. A.
Copyright Year	2002
Description	Author affiliation: ArrayComm, Inc., San Jose, CA, USA (Sankaran, Sundar G.) \|\| Systems Group - DSP Research Laboratory, The Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg 24061 - 0111, USA (Beex, A. A.)
Abstract	We present the tracking properties of the Normalized LMS and affine projection class of algorithms for a randomly time-varying system under certain simplifying assumptions on the data. An expression is given for the steady-state mean-squared error. The dependence of the steady-state error and of the tracking properties on three user-selectable parameters, namely step size, number of vectors used for adaptation, and delay used to choose input vectors used for adaptation, is discussed. While the lag error depends on all of the above parameters, the fluctuation error depends only on step size. Increasing delay results in a linear increase in the lag error and hence the total steady-state mean-squared error. There is an optimum choice for stepsize and number of input vectors that minimizes the total mean-squared error. Simulation results are provided to corroborate the theoretical conclusions.
File Size	733451
File Format	PDF
ISBN	0780374029
ISSN	15206149
DOI	10.1109/ICASSP.2002.5743992
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Variable speed drives Convergence
Content Type	Text
Resource Type	Article

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