Passive Localization of Underwater Acoustic Beacons

Abstract

This thesis examines the use of a single, omnidirectional hydrophone as a receiving sensor to passively localize an acoustic beacon. The localization problem is presented as a constrained, nonlinear parameter estimation problem, and Lagrange multipliers are introduced to solve for the maximum likelihood estimate of the acoustic beacon's position. An iterative algorithm is developed using range difference measurements to solve for the maximum likelihood estimate of a stationary acoustic beacon's position. This algorithm is then extended to include linear, constant velocity motion of the acoustic beacon. Finally, design specifications for a receiver to implement the maximum likelihood estimation algorithms are developed. To test the maximum likelihood estimate algorithms, Monte Carlo simulations are conducted. Results from six representative scenarios are presented. Test results show that as the number of range differences used increases, or the distance that the observer travels between received beacon signals increases, the accuracy of the estimated position improves. Also, tests show that accuracy of the estimated beacon position is directly related to the accuracy in which the observer's position is measured. To test the receiver's design specifications, a prototype receiver is built using commonly available components. It is then shown that the prototype receiver meets or exceeds the design specifications.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1993
Accession Number
ADA270465

Entities

People

  • Dennis M. Wojcik

Organizations

  • Woods Hole Oceanographic Institution

Tags

Communities of Interest

  • Advanced Electronics
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Carrier Frequencies
  • Cartesian Coordinates
  • Computer Programs
  • Computers
  • Coordinate Systems
  • Electrical Engineering
  • Field Effect Transistors
  • Global Positioning Systems
  • Inertial Navigation Systems
  • Maximum Likelihood Estimation
  • Navigation
  • Navigational Equipment
  • Random Variables
  • Range Finding
  • Recording Systems
  • Signal Processing
  • Two Dimensional

Readers

  • Acoustics.
  • Radar Systems Engineering.
  • Statistical inference.