NDLI: Least squares approach to ZF blind equalization using multistep prediction

Content Provider	IEEE Xplore Digital Library
Author	Ju Phil Cho Seo Young Lee Kyung Seung Ahn Heung Ki Baik
Copyright Year	2001
Description	Author affiliation: Electron. & Telecommun. Res. Inst., Daejon, South Korea (Ju Phil Cho)
Abstract	Blind equalization of transmission channels is important in communications areas and signal processing applications because it does not need a training sequence, nor does it require a priori channel information. Recently, Tong et al., (1994, 1995), proposed solutions for this problem by exploiting the diversity induced by antenna array or time oversampling, leading to the second order statistics techniques, for example, subspace method, prediction error method, and so on. The linear prediction error method is perhaps the most attractive in practice due to its being insensitive to blind equalizer length mismatch as well as for its simple adaptive filter implementation. Unfortunately, the previous one-step ahead prediction error method is known to be limited in arbitrary delay. In this paper, we induce the optimal delay, and propose an adaptive blind equalizer with multistep linear prediction using the RLS- and LMS-type algorithm. Simulation results are presented to demonstrate the proposed algorithm and to compare it with existing algorithms.
Starting Page	3321
Ending Page	3325
File Size	246090
Page Count	5
File Format	PDF
ISBN	0780372069
DOI	10.1109/GLOCOM.2001.966301
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-11-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Least squares methods Blind equalizers
Content Type	Text
Resource Type	Article

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