Bearing-Only Tracking Algorithms

Abstract

The problem of tracking emitters, via asynchronous bearing measurements made at two remote sites, was addressed. Three algorithms were developed for this purpose; a statistical moving average technique, a modified Kalman filter technique, and an extended Kalman filter technique. The performances of the algorithms in several selected scenarios were compared, with the preliminary results indicating that the modified Kalman filter technique is superior in its ability to rapidly develop a reasonable track. The extended Kalman filter technique demonstrated superior tracking performance once it had settled down; however, for the cases considered this required an unreasonable amount of time. Further investigation is required to assess the performance of the algorithms against maneuvering targets. The effect of varying the time between measurements should also be considered.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 16, 1980
Accession Number
ADA088093

Entities

People

  • Alex Grindlay

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computer Simulations
  • Crossings
  • Equations
  • Equations Of State
  • Filters
  • Geometry
  • Kalman Filters
  • Mathematical Filters
  • Measurement
  • Observation
  • Platforms
  • Security
  • Stationary
  • Statistical Algorithms
  • Triangulation

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Mathematics or Statistics
  • Sensor Fusion and Tracking Systems.