Time Delay Estimation

Abstract

This study investigates methodologies for passive estimation of the bearing to a slowly moving acoustically radiating source. The mathematics for the solution to such a problem is analogous to estimating the time delay (or group delay) between two time series. The estimation of time delay is intimately related to the coherence between two time series. New results on using coherence to provide information about linear and nonlinear systems are presented. The maximum likelihood (ML) estimate of time delay is derived; the explicit dependence of the estimate on coherence is evident in the realization in which the two time series are prefiltered (to accentuate frequency bands of high coherence) and subsequently crosscorrelated. Also included are statistics of the estimates of the magnitude-squared coherence (MSC), including the probability density function, the cumulative distribution function, and the m-th moment of the MSC estimate. A complete discussion of the bias and the variance of the MSC estimates is presented. The receiver operating characteristics of a linearly thresholded coherence estimation detector are also presented. A general FORTRAN 4 computer program using the fast Fourier transform to estimate time delay is given.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 09, 1976
Accession Number
ADA025408

Entities

People

  • G. C. Carter

Organizations

  • Naval Underwater Systems Center

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Computer Programs
  • Computer Simulations
  • Data Mining
  • Data Science
  • Detection
  • Ergodic Processes
  • Frequency Bands
  • Information Processing
  • Information Science
  • Mathematical Filters
  • Network Science
  • Nonlinear Systems
  • Random Variables
  • Stationary Processes
  • Statistical Algorithms
  • Stochastic Processes

Readers

  • Approximation Theory.
  • Phased Array Antenna Design.
  • Statistical inference.