Investigating Multiple Model Techniques for Target Tracking

Abstract

In this paper, we investigate the fundamental assumptions of popular target tracking algorithms. These assumptions rarely hold in the real world and can have significant effects on current tracking systems. These analyses provide motivation for new algorithms that overcome the difficulties in current algorithms, providing better target tracking systems.

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Document Details

Document Type
Technical Report
Publication Date
Jun 20, 2000
Accession Number
ADA400143

Entities

People

  • Jeff Layne
  • Scott Weaver

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Facilities
  • Air Traffic
  • Algorithms
  • Ballistic Missiles
  • Computations
  • Data Association
  • Department Of Defense
  • Estimators
  • Filters
  • Kalman Filters
  • Measurement
  • Motivation
  • Simulations
  • Target Tracking
  • Targets

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Strategic Security Studies