On Fixed-Interval Minimum Symbol Error Probability Detection.

Abstract

A channel that introduces intersymbol interference and white gaussian noise is shared by K asynchrouous users that modulate linearly a set of preassigned signal waveforms. In this report an algorithm that implements symbol-by-symbol detection upon observation of an entire data record is derived. The algorithm involves nonlinear operations and the forward and backward processing of the data with linear complexity in the length of the observation record. The computational requirements of the prepared scheme are compared favorably with a single user Viterbi-like minimum BER algorithm recently proposed by Hayes et. al. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADA142465

Entities

People

  • S. Verdu

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computational Complexity
  • Computations
  • Detection
  • Digital Communications
  • Gaussian Noise
  • Illinois
  • Intersymbol Interference
  • Intervals
  • Matched Filters
  • Military Research
  • Multiple Access
  • Noise
  • Notation
  • Probability

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Radio communications and signal processing.
  • Statistical inference.