Mitigating Error Propagation Effects in a Decision Feedback Equalizer

Abstract

This paper presents an approximate analysis approach to the computation of probability of error and mean burst error length for a decision feedback equalizer (DFE) that takes into account feedback of decision errors. The method uses a reduced-state Markov model of the feedback process and is applicable to linear modulation formats. This technique was used to analyze a DFE design that mitigates the effects of feedback error by incorporating a soft decision device into the feedback path and a norm constraint on the feedback filter weights. The DFE design and analysis approach was applied to a dispersive multipath propagation environment.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2001
Accession Number
ADA505689

Entities

People

  • James R. Zeidler
  • Jeffery C. Allen
  • Michael Reuter
  • Richard C. North

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Coding
  • Computational Complexity
  • Computational Science
  • Computations
  • Computer Programming
  • Data Science
  • Digital Communications
  • Environment
  • Errors
  • Markov Models
  • Models
  • Modulation
  • Probability
  • Random Variables
  • Simulations
  • Statistics
  • Waveforms

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radio communications and signal processing.