Estimation of Manoeuvring Targets using Hybrid Filters

Abstract

This report examines the problem of estimating the location, velocity and maneuver of a maneuvering target (from range, bearing and pose information). The report considers a nonlinear modeling technique in which the target is represented as a hybrid system (a combination of discrete and continuous valued states) and considers new associated approaches such as the polymorphic estimator. Although simulation studies were performed, the polymorphic estimator had serious numeric problems that suggested the estimator should not be used until the approach is refined. This report is intended to facilitate further discussion and development of the approach (if deemed necessary); hence, it includes details of the assumptions made and the Matlab(Trademark) implementation.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2003
Accession Number
ADA415929

Entities

People

  • Jason J. Ford
  • Peter G. Hunter

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Control Systems
  • Differential Equations
  • Estimators
  • Filtration
  • Guidance
  • Kalman Filtering
  • Kalman Filters
  • Maneuvers
  • Mathematical Filters
  • Miss Distance
  • Navigation
  • Probability
  • Proportional Navigation
  • Radar
  • Systems Science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Linguistics