Domain Pursuit Method for Tracking Ballistic Targets

Abstract

In this report a fast optimal nonlinear filter is developed. This fast filter is based on two techniques: (1) splitting of the convection and diffusion operators and (2) tracking of the important domains (windows) with iterative reduction of the window size; a domain pursuit technique. As a result, the domain of interest is determined adaptively. The developed nonlinear filtering algorithm is then applied to a real problem of tracking ballistic targets in six dimensions. Simulation results for this problem demonstrate the fairly high statistical accuracy, efficiency, and real time performance of the proposed algorithm. These results also show that the developed method is much more accurate compared to the traditional extended Kalman filter.

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Document Details

Document Type
Technical Report
Publication Date
Sep 02, 1998
Accession Number
ADA357952

Entities

People

  • Alexander G. Tartakovsky
  • Boris Rozovsky
  • Chuanxia Rao

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Ballistic Missiles
  • Computational Complexity
  • Computational Science
  • Computations
  • Convection
  • Convolution Integrals
  • Coordinate Systems
  • Differential Equations
  • Equations
  • Filtration
  • Fokker Planck Equations
  • Grids
  • Models
  • Probability
  • Simulations
  • Target Tracking

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.