Sensitivity of a Passive Tracking Algorithm to Input Variations

Abstract

The sensitivity of a passive horizontal-tracking algorithm to variations in input measurements is investigated. The algorithm determines estimates for depth, range, bearing, horizontal speed, course, and frequency for a cw acoustic source moving with constant velocity at fixed depth. The receiver is a horizontal linear array towed at a constant depth. Both source and receiver move in the upper portion of a deep ocean and are separated by a relatively short range. Dominant acoustic signals are presumed to arrive along two upper- ocean ray paths. The algorithm uses a new combination of input quantities, including multipath information, Doppler frequency shifts, and array directional measurements. Procedures are developed for analyzing effects of input- measurement errors on source localization. The robustness of the algorithm to small variations in acoustic measurements and environmental parameters is demonstrated for a variety of source-receiver configurations. Variance estimates of position and motion are obtained in terms of input-measurement variances. Bounds on tracker performance are developed for measurements that are affected by noise. Results from the several types of analyses corroborate the sensitivity characteristics of the algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Aug 15, 1985
Accession Number
ADA158453

Entities

People

  • M. J. Jacobson
  • P. Bilazarian
  • William L. Siegmann

Organizations

  • Rensselaer Polytechnic Institute

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Measurement
  • Acoustics
  • Algorithms
  • Atmospheric Sciences
  • Classification
  • Estimators
  • Frequency Shift
  • Linear Arrays
  • Military Research
  • New York
  • Numerical Analysis
  • Passive Tracking
  • Physics Laboratories
  • Random Variables
  • Security
  • Standards
  • Travel Time

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.