NDLI: Non-Wiener Mean Weight Behavior of LMS Transversal Equalizers With Sinusoidal Interference

Content Provider	IEEE Xplore Digital Library
Author	Ikuma, T. Beex, A.A. Zeidler, J.R.
Copyright Year	1991
Abstract	The least mean-square (LMS) algorithm is generally expected to operate near the corresponding Wiener filter solution. An important exception occurs when the algorithm is used to adapt a transversal equalizer in the presence of additive narrowband interference. For this application, the steady-state LMS equalizer behavior does not correspond to that of the fixed Wiener equalizer: the mean of its weights is different from the Wiener weights, and its mean-square error performance may be significantly better than the Wiener performance. Assuming a large interference-to-signal ratio (ISR), we present the solution for the mean of the LMS weight vector in steady state, based on the Butterweck expansion of the weight update equation. The analytical results are valid for all (mean-square stable) step-sizes. Simulation results are included to support the analytical results and show that the analytical results predict the simulation results accurately, over a wide range of ISR.
Sponsorship	IEEE Signal Processing Society
Starting Page	4521
Ending Page	4525
Page Count	5
File Size	709809
File Format	PDF
ISSN	1053587X
Volume Number	56
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Least squares approximation Interference Adaptive equalizers Steady-state Noise cancellation Wiener filter Narrowband Equations Analytical models Predictive models steady-state analysis Adaptive equalization iterative analysis adaptive equalization
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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