NDLI: MMSE decision-feedback equalizers and coding. I. Equalization results

Content Provider	IEEE Xplore Digital Library
Author	Cioffi, J.M. Dudevoir, G.P. Vedat Eyuboglu, M. Forney Jr., G.D.
Copyright Year	1972
Abstract	The minimum mean-squared-error decision-feedback equalizer (MMSE-DFE) has properties that suggest that it is a canonical equalization structure for systems that combine equalization with coded modulation. The structure and performance of the MMSE-DFE are succinctly derived using linear-estimation-theoretic principles in this first part of this two-part paper. The front-end of the MMSE-DFE, called the "mean-square whitened matched filter" (MS-WMF), is preferable in some ways to a matched filter or a whitened matched filter as a canonical receiver front end. In a coded system, the feedback filter of the MMSE-DFE may be implemented in the transmitter using precoding. The MMSE-DFE can perform significantly better than a zero-forcing decision-feedback equalizer, particularly at moderate-to-low SNR's and on severe-ISI channels. The MMSE-DFE is biased. The optimum unbiased MMSE-DFE is the MMSE-DFE with the bias removed. Removing bias improves error probability, but reduces the SNR to SNR/sub MMSE-DFE,U/=SNR/sub MMSE-DFE/-1. It is shown that this SNR relationship is a particular case of a very general result and that SNR/sub MMSE-DFE,U/ gives a more realistic estimate of SNR. The results are extended to partial response equalization and to equalization with correlated inputs in an appendix.<>
Starting Page	2582
Ending Page	2594
Page Count	13
File Size	1332884
File Format	PDF
ISSN	00906778
Volume Number	43
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision feedback equalizers Modulation coding Matched filters Filtering Transmitters Intersymbol interference Information systems Laboratories Quadrature amplitude modulation Error probability
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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