NDLI: Low-Complexity Channel-Estimate Based Adaptive Linear Equalizer

Content Provider	IEEE Xplore Digital Library
Author	Teyan Chen Zakharov, Y.V. Chunshan Liu
Copyright Year	1994
Abstract	In this letter, we propose a low-complexity channel-estimate based adaptive linear equalizer. The equalizer exploits coordinate descent iterations for computation of equalizer coefficients. The proposed technique has as low complexity as operations per sample, where and are the equalizer and channel estimator length, respectively, and is the number of iterations such that and . Moreover, with dichotomous coordinate descent iterations, the computation of equalizer coefficients is multiplication-free and division-free, which makes the equalizer attractive for hardware design. Simulation shows that the proposed adaptive equalizer performs close to the minimum mean-square-error equalizer with perfect knowledge of the channel.
Sponsorship	IEEE Signal Processing Society
Starting Page	427
Ending Page	430
Page Count	4
File Size	1161601
File Format	PDF
ISSN	10709908
Volume Number	18
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Equalizers Channel estimation Complexity theory Least squares approximation Time-varying channels Equations Signal to noise ratio linear equalizer Adaptive equalization channel estimation dichotomous coordinate descent DCD
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing Electrical and Electronic Engineering

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