Digital Computer Applications of Kalman Filter in Target Tracking.

Abstract

This paper analyzes the problem of tracking targets in noisy conditions. First a basic background is provided. That includes general concepts from estimation theory and a specific description of the Kalman filter and its use for treating the various aspects of the target tracking problem. Then progressively more difficult situations of target tracking examples are simulated and the results are analyzed and compared with the literature. Keywords: Target Tracking, Kalman Filter, Monte Carlo Simulation, Estimation theory, Error covariance matrix, and Maneuvering targets.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1984
Accession Number
ADA150770

Entities

People

  • V. I. Martzoucos

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Programs
  • Computers
  • Data Science
  • Digital Computers
  • Estimators
  • Filters
  • Information Processing
  • Information Science
  • Kalman Filters
  • Markov Processes
  • Mathematical Filters
  • Probability
  • Random Variables
  • Statistical Algorithms
  • White Noise

Fields of Study

  • Engineering

Readers

  • Sensor Fusion and Tracking Systems.
  • Statistical inference.