Equalization for discrete multitone transceivers to maximize bit rate

Güner Arslan, Brian L. Evans, Sayfe Kiaei

Research output: Contribution to journalArticlepeer-review

189 Scopus citations

Abstract

In a discrete multitone receiver, a time-domain equalizer (TEQ) reduces intersymbol interference (ISI) by shortening the effective duration of the channel impulse response. Current TEQ design methods such as minimum mean-squared error (MMSE), maximum shortening SNR (MSSNR), and maximum geometric SNR (MGSNR) do not directly maximize bit rate. In this paper, we develop two TEQ design methods to maximize bit rate. First, we partition an equalized multicarrier channel into its equivalent signal, noise, and ISI paths to develop a new subchannel SNR definition. Then, we derive a nonlinear function of TEQ taps that measures hit rate, which the proposed maximum bit rate (MBR) method optimizes. We also propose a minimum-ISI method that generalizes the MSSNR method by weighting the ISI in the frequency domain to obtain higher performance. The minimum-ISI method is amenable to real-time implementation on a fixed-point digital signal processor. Based on simulations using eight different carrier-serving-area loop channels, 1) the proposed methods yield higher bit rates than MMSE, MGSNR, and MSSNR methods; 2) the proposed methods give three-tap TEQs with higher bit rates than 17-tap MMSE, MGSNR, and MSSNR TEQs; 3) the proposed MBR method achieves the channel capacity (as computed by the matched filter bound using the proposed subchannel SNR model) with a five-tap TEQ; and 4) the proposed minimum-ISI method achieves the bit rate of the optimal MBR method.

Original languageEnglish (US)
Pages (from-to)3123-3135
Number of pages13
JournalIEEE Transactions on Signal Processing
Volume49
Issue number12
DOIs
StatePublished - Dec 2001

Keywords

  • Channel shortening
  • FIR filter design
  • Maximum bit rate equalizer
  • Minimum intersymbol interference equalizer
  • Time domain equalization

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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