Optimal Detection and Signalling in Fast Fading Channels

Abstract

We characterize optimal detection and signaling in terms of signal-to-noise for a fast or frequency-selective channel when the autocorrelation function of the channel is known. Our result characterizes the optimization problem as an eigenvalue/eigenfunction problem with integral operators. For detection, the well-known matched filter and RAKE receivers are limiting cases of our results. In addition, we provide a closed-form expression for the probability density and the cumulative probability function of a quadratic form for zero mean complex gaussian vectors, which is used to evaluate the probability of error of quadratic receivers. Additionally, we provide a procedure that finds pairs of signals or filters for digital communication over a fading channel. With the land-mobile fading channel, the signal/filter pairs obtained with our procedure have a performance significantly better than that of the traditional flat-top pulse and a raised cosine pulse in a PPM pair in terms of the probability of error rate.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1998
Accession Number
ADA400851

Entities

People

  • Chit Lo
  • Todd K Moon

Organizations

  • Utah State University

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Communication Channels
  • Communication Systems
  • Computational Science
  • Detection
  • Digital Communications
  • Eigenvalues
  • Eigenvectors
  • Equations
  • Frequency
  • Linear Algebra
  • Matched Filters
  • Mobile Phones
  • Modulation
  • Multiple Access
  • Probability
  • Random Variables
  • Statistical Analysis

Fields of Study

  • Engineering

Readers

  • Control Systems Engineering.
  • Radio communications and signal processing.