Automatic Target Recognition and Tracking Filter

Abstract

The goal of the research is to develop a multiple model extended Kalman filter to perform simultaneous target identification and tracking using high range resolution (HRR) radar measurements. The idea is to use a multiple model estimator (MME) with multiple Kalman filters (one for each target type) to process HRR measurements. The resulting algorithm will provide estimates of the target kinematics (e.g. position, velocity, and possibly acceleration) and predict model probabilities, which correspond to the target probability. Hence, the approach proposed here is named the automatic target recognition (ATR) and tracking filter.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA399274

Entities

People

  • Jeffery R. Layne

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Aspect Angle
  • Coordinate Systems
  • Data Science
  • Depression Angles
  • Estimators
  • Geometry
  • Identification
  • Information Science
  • Kinematics
  • Line Of Sight
  • Measurement
  • Probability
  • Recognition
  • Statistical Algorithms
  • Synthetic Aperture Radar
  • Target Recognition

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.