NDLI: A new adaptive turbo equalizer with soft information classification

Content Provider	IEEE Xplore Digital Library
Author	Kyeongyeon Kim Jun Won Choi Singer, A.C. Kyungtae Kim
Copyright Year	2010
Description	Author affiliation: Coordinated Science Lab., University of Illinois at Urbana Champaign, 1308 West Main Street, 61801, USA (Kyeongyeon Kim; Jun Won Choi; Singer, A.C.) \|\| Beckman Institute, University of Illinois at Urbana Champaign, 405 N Mathews Ave., 61801, USA (Kyungtae Kim)
Abstract	Linear turbo equalizers with/without channel estimation have been exploited due to their good performance with low complexity compared to a maximuma posteriori (MAP) turbo equalizer. Much work has focused on channel estimate-based minimum mean square error (MMSE) turbo equalizers. However, an MMSE turbo equalizer still requires higher complexity than an adaptive turbo equalizer such as with a normalized least mean square (NLMS) turbo equalizer. Even if adaptive turbo equalizers converge, there is often a performance loss compared to an MMSE turbo equalizer because the adaptive turbo equalizers treat soft decision data as stationary. In order to reduce this loss, we propose a new adaptive turbo equalizer that uses the soft decision data to switch among a set of K different equalizers to approximate the time varying MMSE behavior. Simulations show that the proposed switching-based NLMS turbo equalizer has better bit error rate (BER) performance than a conventional NLMS turbo equalizer by as much as 0.6dB.
Starting Page	3206
Ending Page	3209
File Size	267595
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5496061
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Equalizers Adaptive filters Information filtering Information filters Nonlinear filters Channel estimation Least squares approximation Intersymbol interference Decoding Mean square error methods classification turbo equalization adaptive filters NLMS MMSE
Content Type	Text
Resource Type	Article

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