Bounds and Algorithms for Time Delay Estimation on Parallel, Flat Fading Channels

Abstract

We study time delay estimation (TDE) on parallel channels with flat fading. Several models for the channel gains are considered, and for each case we present the maximum likelihood estimator (MLE), the Cramer-Rao bound (CRB), and the Ziv-Zakai bound (ZZB). The bounds facilitate an analysis of the effects of fading and diversity on TDE accuracy over parallel channels. Computer simulations of the mean-squared error of the MLEs confirm the validity of the bounds.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA505459

Entities

People

  • Brian M. Sadler
  • Richard J. Kozick

Organizations

  • Bucknell University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Channel Models
  • Data Science
  • Errors
  • Estimators
  • Frequency
  • Frequency Agility
  • Information Operations
  • Information Science
  • Matched Filters
  • Numbers
  • Probability
  • Probability Density Functions
  • Random Variables
  • Square Roots
  • Statistical Algorithms

Fields of Study

  • Engineering

Readers

  • Radio communications and signal processing.
  • Statistical inference.