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MMSE decision-feedback equalizers and coding. II. Coding results | IEEE Journals & Magazine | IEEE Xplore

MMSE decision-feedback equalizers and coding. II. Coding results


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...Show More

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 SNR/sub MMSE-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 SNR/sub MMSE-DFE,U/ is the capacity-achieving (water-pouring) spectrum, and the capacity C(T) (in bits per two dimensions) is given by C(T)=log/sub 2/[1+SNR/sub MMSE-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.<>
Published in: IEEE Transactions on Communications ( Volume: 43, Issue: 10, October 1995)
Page(s): 2595 - 2604
Date of Publication: 06 August 2002

ISSN Information:

Information Systems Laboratory the Department of Electrical Engineering, University of Stanford, Stanford, CA, USA
United States Military Academy, West Point, NY, USA
Information Systems Laboratory the Department of Electrical Engineering, University of Stanford, Stanford, CA, USA
Motorola, Inc., Mansfield, MA, USA
Motorola, Inc., Mansfield, MA, USA

Information Systems Laboratory the Department of Electrical Engineering, University of Stanford, Stanford, CA, USA
United States Military Academy, West Point, NY, USA
Information Systems Laboratory the Department of Electrical Engineering, University of Stanford, Stanford, CA, USA
Motorola, Inc., Mansfield, MA, USA
Motorola, Inc., Mansfield, MA, USA

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