Fixed Interval Smoothing Algorithm for an Extended Kalman Filter for Over-the-Horizon Ship Tracking

Abstract

The performance of an extended Kalman filter used to track a maneuvering surface target using HFDF lines-of-bearing is substantially improved by implementing a fixed interval smoothing algorithm and a maneuver detection method that uses a noise variance estimator process. This tracking routine is designed and implemented in a computer program developed for this thesis. The Hall noise model is used to accurately evaluate the performance of the tracking algorithm in a noisy environment. Several tracking scenarios are simulated and analyzed. The application of the Kalman tracker to a tropical storm tracking is investigated. Actual storm tracks obtained from the Joint Typhoon Warning Center in Guam, Mariana Islands are used for this research.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA208555

Entities

People

  • William J. Galinis

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computer Programs
  • Computer Simulations
  • Computers
  • Detection
  • Detectors
  • Direction Finding
  • Estimators
  • Filters
  • Intervals
  • Kalman Filters
  • Maneuvers
  • Mathematical Filters
  • Simulations
  • Statistical Algorithms
  • Targets

Readers

  • Approximation Theory.
  • Atmospheric Science/Meteorology
  • Sensor Fusion and Tracking Systems.