AN APPROACH TO TARGET TRACKING

Abstract

The report presents an approach to point target tracking based on sequential filtering techniques. The tracking problem is defined in terms of a nonlinear vector differential equation and an appropriate state vector. A bayesian formulation for the problem is selected which results in a least- squares filter solution. Linearization techniques essential to this approach are incorporated into the development of the solution. A computer program which implements the complete solution algorithm is presented. As part of this computer realization, numerical integration of the equations of motion and numerical evolution of the estimate covariance matrix are discussed in detail.

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Document Details

Document Type
Technical Report
Publication Date
Feb 10, 1967
Accession Number
AD0654272

Entities

People

  • Michael Gruber

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programs
  • Control Theory
  • Coordinate Systems
  • Covariance
  • Difference Equations
  • Differential Equations
  • Equations
  • Error Analysis
  • Estimators
  • Filtration
  • Iterations
  • Linear Filtering
  • Mathematical Filters
  • Numerical Analysis
  • Numerical Integration
  • Target Tracking

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms