DocumentCode :
1016217
Title :
MMSE decision-feedback equalizers and coding. II. Coding results
Author :
Cioffi, John M. ; Dudevoir, Glen P. ; Eyuboglu, M. Vedat ; Forney, G. David, Jr.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume :
43
Issue :
10
fYear :
1995
fDate :
10/1/1995 12:00:00 AM
Firstpage :
2595
Lastpage :
2604
Abstract :
For pt.I see ibid., vol.43, no.10, p.2582 (1995). The minimum-mean-squared-error decision-feedback equalizer (MMSE-DFE) has properties that suggest that it is a canonical equalization structure in systems that combine equalization with coded modulation. With a given symbol rate 1/T and transmit spectrum, the output signal-to-noise ratio SNRMMSE-DFE,U of a MMSE-DFE with an unbiased decision rule is a single parameter that characterizes the channel for coding purposes. Indeed, the transmit spectrum that maximizes SNRMMSE-DFE,U is the capacity-achieving (water-pouring) spectrum, and the capacity C(T) (in bits per two dimensions) is given by C(T)=log2[1+SNRMMSE-DFE,U] regardless of the channel characteristics. The performance of a coded system with a MMSE-DFE equalization structure may be accurately estimated using the gain of the coding scheme at a given Pr(E). This performance is shown to be approximately the same as that of a multicarrier system using the same transmit spectrum and similar coding; such systems are known to be able to approach capacity arbitrarily closely. 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. Simulation results indicate that performance of the MMSE-DFE is surprisingly insensitive to transmit spectral shaping, as long as the transmit spectrum exceeds the capacity-achieving band, but that there is an optimal symbol rate that should (approximately) be used
Keywords :
channel capacity; channel coding; decision feedback equalisers; intersymbol interference; modulation coding; spectral analysis; ISI channels; canonical equalization structure; capacity achieving band; channel characteristics; coded modulation; coding; gain; minimum-mean-squared-error decision-feedback equalizer; multicarrier system; optimal symbol rate; output signal-to-noise ratio; performance; simulation; symbol rate; transmit spectral shaping; transmit spectrum; unbiased decision rule; Adaptive signal processing; Communications Society; Decision feedback equalizers; Error probability; Filters; Intersymbol interference; Modulation coding; Performance gain; Signal to noise ratio; Transmitters;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.469440
Filename :
469440
Link To Document :
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